Overview

Dataset statistics

Number of variables146
Number of observations100008
Missing cells172457
Missing cells (%)1.2%
Total size in memory114.2 MiB
Average record size in memory1.2 KiB

Variable types

Numeric144
Unsupported2

Alerts

CA has 2406 (2.4%) missing valuesMissing
CB has 7590 (7.6%) missing valuesMissing
CF has 1988 (2.0%) missing valuesMissing
CG has 11715 (11.7%) missing valuesMissing
CH has 35778 (35.8%) missing valuesMissing
CM has 44941 (44.9%) missing valuesMissing
CN has 66938 (66.9%) missing valuesMissing
volume is highly skewed (γ1 = 21.02943323)Skewed
CU is highly skewed (γ1 = -37.45613408)Skewed
CX is highly skewed (γ1 = -50.63487999)Skewed
CY is highly skewed (γ1 = 62.21353436)Skewed
CZ is highly skewed (γ1 = 59.27685836)Skewed
DA is highly skewed (γ1 = 56.19837721)Skewed
DB is highly skewed (γ1 = 59.70514271)Skewed
timestamp has unique valuesUnique
DC is an unsupported type, check if it needs cleaning or further analysisUnsupported
DD is an unsupported type, check if it needs cleaning or further analysisUnsupported
M has 85641 (85.6%) zerosZeros
N has 85643 (85.6%) zerosZeros
AR has 94211 (94.2%) zerosZeros
AS has 94366 (94.4%) zerosZeros
DE has 9868 (9.9%) zerosZeros
DF has 9868 (9.9%) zerosZeros
L_co has 99404 (99.4%) zerosZeros
O_co has 99541 (99.5%) zerosZeros
R_co has 99583 (99.6%) zerosZeros
AE_co has 99288 (99.3%) zerosZeros
AF_co has 98837 (98.8%) zerosZeros
AH_co has 99158 (99.2%) zerosZeros
AM_co has 98054 (98.0%) zerosZeros
AN_co has 98277 (98.3%) zerosZeros
AO_co has 98044 (98.0%) zerosZeros
AQ_co has 97716 (97.7%) zerosZeros
AT_co has 96631 (96.6%) zerosZeros
AU_co has 98895 (98.9%) zerosZeros
AV_co has 98922 (98.9%) zerosZeros
AW_co has 99598 (99.6%) zerosZeros
AX_co has 99406 (99.4%) zerosZeros
AY_co has 99401 (99.4%) zerosZeros
AZ_co has 98919 (98.9%) zerosZeros
BA_co has 99619 (99.6%) zerosZeros
BD_co has 99682 (99.7%) zerosZeros
BI_co has 99441 (99.4%) zerosZeros
BJ_co has 99193 (99.2%) zerosZeros
BK_co has 99459 (99.5%) zerosZeros
BQ_co has 96891 (96.9%) zerosZeros
BR_co has 97729 (97.7%) zerosZeros
BS_co has 98749 (98.7%) zerosZeros
BT_co has 99459 (99.5%) zerosZeros
BZ_co_upd has 99285 (99.3%) zerosZeros
CC_co_upd has 98491 (98.5%) zerosZeros
CI_co_upd has 99586 (99.6%) zerosZeros
EXP3 has 77982 (78.0%) zerosZeros
EXP2 has 95545 (95.5%) zerosZeros
EXP2EXT has 92476 (92.5%) zerosZeros
TOUCH has 76585 (76.6%) zerosZeros

Reproduction

Analysis started2023-07-01 06:58:57.972646
Analysis finished2023-07-01 06:59:01.297771
Duration3.33 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

timestamp
Real number (ℝ)

Distinct100008
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1649116353
Minimum1619085780
Maximum1679090340
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:01.358641image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum1619085780
5-th percentile1622023650
Q11634059545
median1649200200
Q31664150985
95-th percentile1676140743
Maximum1679090340
Range60004560
Interquartile range (IQR)30091440

Descriptive statistics

Standard deviation17349588.19
Coefficient of variation (CV)0.01052053614
Kurtosis-1.203049895
Mean1649116353
Median Absolute Deviation (MAD)15053760
Skewness-0.002677044694
Sum1.649248282 × 1014
Variance3.010082104 × 1014
MonotonicityNot monotonic
2023-07-01T06:59:01.461843image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1675067400 1
 
< 0.1%
1657439940 1
 
< 0.1%
1671185820 1
 
< 0.1%
1640863740 1
 
< 0.1%
1657116060 1
 
< 0.1%
1626615420 1
 
< 0.1%
1643996040 1
 
< 0.1%
1645831380 1
 
< 0.1%
1661276160 1
 
< 0.1%
1641798720 1
 
< 0.1%
Other values (99998) 99998
> 99.9%
ValueCountFrequency (%)
1619085780 1
< 0.1%
1619086800 1
< 0.1%
1619087040 1
< 0.1%
1619087280 1
< 0.1%
1619087340 1
< 0.1%
ValueCountFrequency (%)
1679090340 1
< 0.1%
1679089800 1
< 0.1%
1679089620 1
< 0.1%
1679089560 1
< 0.1%
1679089380 1
< 0.1%

open_x
Real number (ℝ)

Distinct50686
Distinct (%)50.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34443.08298
Minimum15560
Maximum68718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:01.742742image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum15560
5-th percentile16822
Q121212
median34517
Q344750.5
95-th percentile59090.325
Maximum68718
Range53158
Interquartile range (IQR)23538.5

Descriptive statistics

Standard deviation13686.55824
Coefficient of variation (CV)0.3973673974
Kurtosis-0.9774010522
Mean34443.08298
Median Absolute Deviation (MAD)12336
Skewness0.3734448238
Sum3444583843
Variance187321876.6
MonotonicityNot monotonic
2023-07-01T06:59:01.856249image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16832 26
 
< 0.1%
16830.5 25
 
< 0.1%
16814 25
 
< 0.1%
16924 24
 
< 0.1%
16821.5 21
 
< 0.1%
16841 21
 
< 0.1%
16555.5 20
 
< 0.1%
16842 19
 
< 0.1%
16813.5 19
 
< 0.1%
16819.5 19
 
< 0.1%
Other values (50676) 99789
99.8%
ValueCountFrequency (%)
15560 1
< 0.1%
15582.5 1
< 0.1%
15589.5 1
< 0.1%
15611.5 1
< 0.1%
15626 1
< 0.1%
ValueCountFrequency (%)
68718 1
< 0.1%
68700.5 1
< 0.1%
68649.5 1
< 0.1%
68649 1
< 0.1%
68633 1
< 0.1%

high_x
Real number (ℝ)

Distinct49997
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34457.64569
Minimum15584
Maximum68718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:01.962940image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum15584
5-th percentile16823.5
Q121219.375
median34536.5
Q344774.25
95-th percentile59116.475
Maximum68718
Range53134
Interquartile range (IQR)23554.875

Descriptive statistics

Standard deviation13691.60626
Coefficient of variation (CV)0.3973459586
Kurtosis-0.9778375929
Mean34457.64569
Median Absolute Deviation (MAD)12341.5
Skewness0.3729554678
Sum3446040230
Variance187460081.9
MonotonicityNot monotonic
2023-07-01T06:59:02.073414image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16814 25
 
< 0.1%
16830.5 25
 
< 0.1%
16924 24
 
< 0.1%
16819.5 24
 
< 0.1%
16832 22
 
< 0.1%
16823.5 22
 
< 0.1%
16813 21
 
< 0.1%
16813.5 20
 
< 0.1%
16821.5 20
 
< 0.1%
16841.5 20
 
< 0.1%
Other values (49987) 99785
99.8%
ValueCountFrequency (%)
15584 1
< 0.1%
15604.5 1
< 0.1%
15620 1
< 0.1%
15643 1
< 0.1%
15650 1
< 0.1%
ValueCountFrequency (%)
68718 1
< 0.1%
68700.5 1
< 0.1%
68660 1
< 0.1%
68649 1
< 0.1%
68633 1
< 0.1%

low_x
Real number (ℝ)

Distinct49920
Distinct (%)49.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34428.37293
Minimum15468
Maximum68696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:02.175503image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum15468
5-th percentile16820.5
Q121203.375
median34506.25
Q344726.5
95-th percentile59067.65
Maximum68696
Range53228
Interquartile range (IQR)23523.125

Descriptive statistics

Standard deviation13681.39956
Coefficient of variation (CV)0.3973873406
Kurtosis-0.9769611553
Mean34428.37293
Median Absolute Deviation (MAD)12333.25
Skewness0.3739185668
Sum3443112720
Variance187180693.8
MonotonicityNot monotonic
2023-07-01T06:59:02.282923image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16923.5 26
 
< 0.1%
16830 25
 
< 0.1%
16813.5 24
 
< 0.1%
16819 24
 
< 0.1%
16823 23
 
< 0.1%
16835 22
 
< 0.1%
16817 21
 
< 0.1%
16810 21
 
< 0.1%
16822 20
 
< 0.1%
16837.5 20
 
< 0.1%
Other values (49910) 99782
99.8%
ValueCountFrequency (%)
15468 1
< 0.1%
15522 1
< 0.1%
15584.5 1
< 0.1%
15586 1
< 0.1%
15602 1
< 0.1%
ValueCountFrequency (%)
68696 1
< 0.1%
68679.5 1
< 0.1%
68649.5 1
< 0.1%
68627 1
< 0.1%
68622.5 1
< 0.1%

close_x
Real number (ℝ)

Distinct50764
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34442.99597
Minimum15507.5
Maximum68696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:02.382140image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum15507.5
5-th percentile16822
Q121211
median34520.5
Q344754
95-th percentile59097.65
Maximum68696
Range53188.5
Interquartile range (IQR)23543

Descriptive statistics

Standard deviation13686.70153
Coefficient of variation (CV)0.3973725615
Kurtosis-0.9773523546
Mean34442.99597
Median Absolute Deviation (MAD)12338.25
Skewness0.3734753146
Sum3444575140
Variance187325798.8
MonotonicityNot monotonic
2023-07-01T06:59:02.487847image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16830.5 27
 
< 0.1%
16924 24
 
< 0.1%
16819 22
 
< 0.1%
16814 22
 
< 0.1%
16817.5 21
 
< 0.1%
16832 21
 
< 0.1%
16928.5 20
 
< 0.1%
16835.5 20
 
< 0.1%
16837.5 20
 
< 0.1%
16800.5 20
 
< 0.1%
Other values (50754) 99791
99.8%
ValueCountFrequency (%)
15507.5 1
< 0.1%
15545 1
< 0.1%
15604 1
< 0.1%
15611.5 1
< 0.1%
15616.5 1
< 0.1%
ValueCountFrequency (%)
68696 1
< 0.1%
68679.5 1
< 0.1%
68660 1
< 0.1%
68627 1
< 0.1%
68623 1
< 0.1%

volume
Real number (ℝ)

Distinct95841
Distinct (%)95.8%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1523697.636
Minimum1
Maximum309025372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:02.592156image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13580.1
Q1135277.75
median462711.5
Q31451639.75
95-th percentile6087972.85
Maximum309025372
Range309025371
Interquartile range (IQR)1316362

Descriptive statistics

Standard deviation4191845.596
Coefficient of variation (CV)2.751100675
Kurtosis1006.775084
Mean1523697.636
Median Absolute Deviation (MAD)404036.5
Skewness21.02943323
Sum1.523667162 × 1011
Variance1.75715695 × 1013
MonotonicityNot monotonic
2023-07-01T06:59:02.694389image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 51
 
0.1%
12 29
 
< 0.1%
11 13
 
< 0.1%
14 10
 
< 0.1%
20 9
 
< 0.1%
23 8
 
< 0.1%
6 8
 
< 0.1%
13 7
 
< 0.1%
1010 6
 
< 0.1%
16 6
 
< 0.1%
Other values (95831) 99851
99.8%
(Missing) 10
 
< 0.1%
ValueCountFrequency (%)
1 4
< 0.1%
2 6
< 0.1%
3 5
< 0.1%
4 4
< 0.1%
5 4
< 0.1%
ValueCountFrequency (%)
309025372 1
< 0.1%
303647840 1
< 0.1%
275381972 1
< 0.1%
188507687 1
< 0.1%
170012956 1
< 0.1%

open_y
Real number (ℝ)

Distinct14288
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34443.47813
Minimum15617
Maximum68693
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:02.800292image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum15617
5-th percentile16824
Q121215
median34527
Q344794
95-th percentile59093.85
Maximum68693
Range53076
Interquartile range (IQR)23579

Descriptive statistics

Standard deviation13686.30945
Coefficient of variation (CV)0.3973556156
Kurtosis-0.9775493859
Mean34443.47813
Median Absolute Deviation (MAD)12331.5
Skewness0.3732830355
Sum3444623360
Variance187315066.5
MonotonicityNot monotonic
2023-07-01T06:59:02.905838image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16832 50
 
< 0.1%
16826 40
 
< 0.1%
16824 38
 
< 0.1%
19167.5 36
 
< 0.1%
16830.5 34
 
< 0.1%
19208.5 32
 
< 0.1%
16851 31
 
< 0.1%
16690 30
 
< 0.1%
16532.5 30
 
< 0.1%
19144.5 30
 
< 0.1%
Other values (14278) 99657
99.6%
ValueCountFrequency (%)
15617 3
 
< 0.1%
15661.5 9
< 0.1%
15674 6
< 0.1%
15674.5 8
< 0.1%
15695.5 7
< 0.1%
ValueCountFrequency (%)
68693 4
< 0.1%
68620.5 4
< 0.1%
68584.5 4
< 0.1%
68481 6
< 0.1%
68438.5 8
< 0.1%

high_y
Real number (ℝ)

Distinct13925
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34615.45596
Minimum15747.5
Maximum69182.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:03.004814image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum15747.5
5-th percentile16846.5
Q121307.75
median34731.5
Q344980.75
95-th percentile59336.5
Maximum69182.5
Range53435
Interquartile range (IQR)23673

Descriptive statistics

Standard deviation13757.54365
Coefficient of variation (CV)0.3974393308
Kurtosis-0.9819601041
Mean34615.45596
Median Absolute Deviation (MAD)12376.75
Skewness0.3689308355
Sum3461822519
Variance189270007.3
MonotonicityNot monotonic
2023-07-01T06:59:03.109200image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16845 58
 
0.1%
39150 49
 
< 0.1%
57800 49
 
< 0.1%
38600 48
 
< 0.1%
19190 43
 
< 0.1%
16942.5 42
 
< 0.1%
16570 38
 
< 0.1%
16600 37
 
< 0.1%
44100 36
 
< 0.1%
23090 35
 
< 0.1%
Other values (13915) 99573
99.6%
ValueCountFrequency (%)
15747.5 5
< 0.1%
15755 7
< 0.1%
15759.5 9
< 0.1%
15792 6
< 0.1%
15793 6
< 0.1%
ValueCountFrequency (%)
69182.5 4
< 0.1%
68855.5 4
< 0.1%
68815 8
< 0.1%
68693.5 4
< 0.1%
68601 9
< 0.1%

low_y
Real number (ℝ)

Distinct14008
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34261.96146
Minimum15437
Maximum68573
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:03.210027image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum15437
5-th percentile16796
Q121127
median34304
Q344477.5
95-th percentile58822.5
Maximum68573
Range53136
Interquartile range (IQR)23350.5

Descriptive statistics

Standard deviation13608.54871
Coefficient of variation (CV)0.3971911744
Kurtosis-0.9729048604
Mean34261.96146
Median Absolute Deviation (MAD)12279
Skewness0.3777039226
Sum3426470242
Variance185192598
MonotonicityNot monotonic
2023-07-01T06:59:03.315312image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20013 40
 
< 0.1%
19642 39
 
< 0.1%
20701 38
 
< 0.1%
16810 36
 
< 0.1%
16823 36
 
< 0.1%
16809.5 35
 
< 0.1%
16691 35
 
< 0.1%
16803 34
 
< 0.1%
37950 32
 
< 0.1%
16520 32
 
< 0.1%
Other values (13998) 99651
99.6%
ValueCountFrequency (%)
15437 5
< 0.1%
15450 8
< 0.1%
15512 9
< 0.1%
15525 6
< 0.1%
15559 7
< 0.1%
ValueCountFrequency (%)
68573 4
< 0.1%
68438 8
< 0.1%
68273 6
< 0.1%
68260 4
< 0.1%
67980 4
< 0.1%

close_y
Real number (ℝ)

Distinct14290
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34442.77393
Minimum15617
Maximum68693
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:03.419542image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum15617
5-th percentile16824
Q121215
median34526
Q344772.5
95-th percentile59081.325
Maximum68693
Range53076
Interquartile range (IQR)23557.5

Descriptive statistics

Standard deviation13686.41539
Coefficient of variation (CV)0.3973668154
Kurtosis-0.9765538638
Mean34442.77393
Median Absolute Deviation (MAD)12325.5
Skewness0.3737476705
Sum3444552935
Variance187317966.2
MonotonicityNot monotonic
2023-07-01T06:59:03.524074image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16832 45
 
< 0.1%
16824 39
 
< 0.1%
16501.5 39
 
< 0.1%
16537 34
 
< 0.1%
16851 33
 
< 0.1%
16830.5 32
 
< 0.1%
43375 32
 
< 0.1%
16826 32
 
< 0.1%
23410.5 31
 
< 0.1%
16843.5 30
 
< 0.1%
Other values (14280) 99661
99.7%
ValueCountFrequency (%)
15617 5
< 0.1%
15661.5 6
< 0.1%
15674 7
< 0.1%
15674.5 6
< 0.1%
15695.5 7
< 0.1%
ValueCountFrequency (%)
68693 4
< 0.1%
68620.5 8
< 0.1%
68584.5 9
< 0.1%
68481 4
< 0.1%
68438.5 6
< 0.1%

K
Real number (ℝ)

Distinct96808
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean829.2179411
Minimum-13594.78898
Maximum21935.11138
Zeros0
Zeros (%)0.0%
Negative37426
Negative (%)37.4%
Memory size3.5 MiB
2023-07-01T06:59:03.624592image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-13594.78898
5-th percentile-6124.74814
Q1-1260.369443
median764.540005
Q32894.719828
95-th percentile7455.149263
Maximum21935.11138
Range35529.90036
Interquartile range (IQR)4155.08927

Descriptive statistics

Standard deviation3935.131701
Coefficient of variation (CV)4.745594018
Kurtosis0.9367833229
Mean829.2179411
Median Absolute Deviation (MAD)2084.927515
Skewness0.0638195554
Sum82928427.86
Variance15485261.5
MonotonicityNot monotonic
2023-07-01T06:59:03.722283image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
286.50305 7
 
< 0.1%
-28.18541 7
 
< 0.1%
-303.3865 6
 
< 0.1%
290.01224 6
 
< 0.1%
-25.08118 6
 
< 0.1%
-33.98921 6
 
< 0.1%
206.25071 6
 
< 0.1%
395.78429 5
 
< 0.1%
343.44545 5
 
< 0.1%
412.76385 5
 
< 0.1%
Other values (96798) 99949
99.9%
ValueCountFrequency (%)
-13594.78898 1
< 0.1%
-13573.82558 1
< 0.1%
-13550.78898 1
< 0.1%
-13549.78898 1
< 0.1%
-13504.82558 1
< 0.1%
ValueCountFrequency (%)
21935.11138 1
< 0.1%
19263.61138 1
< 0.1%
18171.58791 1
< 0.1%
18065.63486 1
< 0.1%
18032.03289 1
< 0.1%

L
Real number (ℝ)

Distinct96807
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean227.4062762
Minimum-7432.58817
Maximum16947.42204
Zeros0
Zeros (%)0.0%
Negative43423
Negative (%)43.4%
Memory size3.5 MiB
2023-07-01T06:59:04.046709image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-7432.58817
5-th percentile-3206.902308
Q1-737.4377475
median148.654535
Q31049.983445
95-th percentile3783.813455
Maximum16947.42204
Range24380.01021
Interquartile range (IQR)1787.421192

Descriptive statistics

Standard deviation1994.693549
Coefficient of variation (CV)8.771497348
Kurtosis2.309001344
Mean227.4062762
Median Absolute Deviation (MAD)894.408805
Skewness0.4743842092
Sum22742446.87
Variance3978802.353
MonotonicityNot monotonic
2023-07-01T06:59:04.147454image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.39114 7
 
< 0.1%
-121.87346 7
 
< 0.1%
54.92769 6
 
< 0.1%
-130.20122 6
 
< 0.1%
-4.49383 6
 
< 0.1%
-291.63784 6
 
< 0.1%
-157.00247 6
 
< 0.1%
-209.03424 5
 
< 0.1%
42.81323 5
 
< 0.1%
40.36025 5
 
< 0.1%
Other values (96797) 99949
99.9%
ValueCountFrequency (%)
-7432.58817 1
< 0.1%
-7419.58817 1
< 0.1%
-7402.85562 1
< 0.1%
-7357.58817 1
< 0.1%
-7354.58817 1
< 0.1%
ValueCountFrequency (%)
16947.42204 1
< 0.1%
14275.92204 1
< 0.1%
13242.63042 1
< 0.1%
13019.21366 1
< 0.1%
12496.92204 1
< 0.1%

M
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1436585073
Minimum0
Maximum1
Zeros85641
Zeros (%)85.6%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:04.225155image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3507448798
Coefficient of variation (CV)2.441518336
Kurtosis2.128877044
Mean0.1436585073
Median Absolute Deviation (MAD)0
Skewness2.031953363
Sum14367
Variance0.1230219707
MonotonicityNot monotonic
2023-07-01T06:59:04.290034image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 85641
85.6%
1 14367
 
14.4%
ValueCountFrequency (%)
0 85641
85.6%
1 14367
 
14.4%
ValueCountFrequency (%)
1 14367
 
14.4%
0 85641
85.6%

N
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1436385089
Minimum0
Maximum1
Zeros85643
Zeros (%)85.6%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:04.357888image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3507245609
Coefficient of variation (CV)2.441716804
Kurtosis2.129818975
Mean0.1436385089
Median Absolute Deviation (MAD)0
Skewness2.032185125
Sum14365
Variance0.1230077177
MonotonicityNot monotonic
2023-07-01T06:59:04.421638image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 85643
85.6%
1 14365
 
14.4%
ValueCountFrequency (%)
0 85643
85.6%
1 14365
 
14.4%
ValueCountFrequency (%)
1 14365
 
14.4%
0 85643
85.6%

O
Real number (ℝ)

Distinct11317
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-859.186985
Minimum-12478.5
Maximum7384.5
Zeros9
Zeros (%)< 0.1%
Negative93950
Negative (%)93.9%
Memory size3.5 MiB
2023-07-01T06:59:04.511271image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-12478.5
5-th percentile-2882.825
Q1-1143.5
median-537.5
Q3-225.5
95-th percentile68.825
Maximum7384.5
Range19863
Interquartile range (IQR)918

Descriptive statistics

Standard deviation1108.572432
Coefficient of variation (CV)-1.290257478
Kurtosis14.37815259
Mean-859.186985
Median Absolute Deviation (MAD)377
Skewness-2.728174604
Sum-85925572
Variance1228932.838
MonotonicityNot monotonic
2023-07-01T06:59:04.611168image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-175 70
 
0.1%
-157 70
 
0.1%
-265.5 69
 
0.1%
-277.5 69
 
0.1%
-90.5 67
 
0.1%
-195 67
 
0.1%
-167.5 67
 
0.1%
-183 67
 
0.1%
-176 67
 
0.1%
-137.5 66
 
0.1%
Other values (11307) 99329
99.3%
ValueCountFrequency (%)
-12478.5 1
< 0.1%
-12319 1
< 0.1%
-12275 1
< 0.1%
-12160.5 1
< 0.1%
-12150 1
< 0.1%
ValueCountFrequency (%)
7384.5 1
< 0.1%
7055 1
< 0.1%
4740.5 1
< 0.1%
4713 1
< 0.1%
4278 1
< 0.1%

P
Real number (ℝ)

Distinct14360
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1674.94323
Minimum-12756.5
Maximum6655.5
Zeros3
Zeros (%)< 0.1%
Negative97895
Negative (%)97.9%
Memory size3.5 MiB
2023-07-01T06:59:04.722581image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-12756.5
5-th percentile-4947.5
Q1-2310
median-1165.5
Q3-561
95-th percentile-158
Maximum6655.5
Range19412
Interquartile range (IQR)1749

Descriptive statistics

Standard deviation1614.129498
Coefficient of variation (CV)-0.9636920638
Kurtosis4.530666681
Mean-1674.94323
Median Absolute Deviation (MAD)750
Skewness-1.804639278
Sum-167507722.5
Variance2605414.035
MonotonicityNot monotonic
2023-07-01T06:59:04.824084image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-253 59
 
0.1%
-257.5 48
 
< 0.1%
-395.5 47
 
< 0.1%
-258.5 47
 
< 0.1%
-251.5 45
 
< 0.1%
-337.5 43
 
< 0.1%
-249 43
 
< 0.1%
-227 42
 
< 0.1%
-334 42
 
< 0.1%
-327.5 42
 
< 0.1%
Other values (14350) 99550
99.5%
ValueCountFrequency (%)
-12756.5 1
< 0.1%
-12597 1
< 0.1%
-12553 1
< 0.1%
-12438.5 1
< 0.1%
-12428 1
< 0.1%
ValueCountFrequency (%)
6655.5 1
< 0.1%
6455 1
< 0.1%
3984 1
< 0.1%
3795.5 1
< 0.1%
3454 1
< 0.1%

Q
Real number (ℝ)

Distinct16699
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2441.840168
Minimum-13028.5
Maximum6342.5
Zeros0
Zeros (%)0.0%
Negative99058
Negative (%)99.1%
Memory size3.5 MiB
2023-07-01T06:59:04.931677image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-13028.5
5-th percentile-6618.5
Q1-3333
median-1854
Q3-979.5
95-th percentile-314
Maximum6342.5
Range19371
Interquartile range (IQR)2353.5

Descriptive statistics

Standard deviation2003.429055
Coefficient of variation (CV)-0.8204587184
Kurtosis1.889603381
Mean-2441.840168
Median Absolute Deviation (MAD)1052
Skewness-1.35873902
Sum-244203551.5
Variance4013727.977
MonotonicityNot monotonic
2023-07-01T06:59:05.032565image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-549.5 35
 
< 0.1%
-1189.5 34
 
< 0.1%
-537 33
 
< 0.1%
-536 33
 
< 0.1%
-883.5 32
 
< 0.1%
-533.5 31
 
< 0.1%
-558 31
 
< 0.1%
-548 31
 
< 0.1%
-1151 30
 
< 0.1%
-261 30
 
< 0.1%
Other values (16689) 99688
99.7%
ValueCountFrequency (%)
-13028.5 1
< 0.1%
-12869 1
< 0.1%
-12825 1
< 0.1%
-12710.5 1
< 0.1%
-12700 1
< 0.1%
ValueCountFrequency (%)
6342.5 1
< 0.1%
5880 1
< 0.1%
3671 1
< 0.1%
3027 1
< 0.1%
2999.5 1
< 0.1%

R
Real number (ℝ)

Distinct11208
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean813.0201634
Minimum-4091
Maximum12721
Zeros5
Zeros (%)< 0.1%
Negative5814
Negative (%)5.8%
Memory size3.5 MiB
2023-07-01T06:59:05.141231image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-4091
5-th percentile-54.5
Q1212.5
median505
Q31090
95-th percentile2824
Maximum12721
Range16812
Interquartile range (IQR)877.5

Descriptive statistics

Standard deviation1062.295143
Coefficient of variation (CV)1.306603686
Kurtosis11.71787035
Mean813.0201634
Median Absolute Deviation (MAD)353.75
Skewness2.573391591
Sum81308520.5
Variance1128470.97
MonotonicityNot monotonic
2023-07-01T06:59:05.236351image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
152.5 77
 
0.1%
183 77
 
0.1%
165 76
 
0.1%
169.5 76
 
0.1%
148.5 74
 
0.1%
149 71
 
0.1%
143.5 71
 
0.1%
161 71
 
0.1%
95 70
 
0.1%
179.5 70
 
0.1%
Other values (11198) 99275
99.3%
ValueCountFrequency (%)
-4091 1
< 0.1%
-4035 1
< 0.1%
-3894.5 1
< 0.1%
-3695 1
< 0.1%
-3623.5 1
< 0.1%
ValueCountFrequency (%)
12721 1
< 0.1%
11336 1
< 0.1%
11114.5 1
< 0.1%
11044 1
< 0.1%
10971.5 1
< 0.1%

S
Real number (ℝ)

Distinct14138
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1654.997565
Minimum-3889
Maximum14685.5
Zeros0
Zeros (%)0.0%
Negative2145
Negative (%)2.1%
Memory size3.5 MiB
2023-07-01T06:59:05.340369image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-3889
5-th percentile144
Q1577
median1210.5
Q32221
95-th percentile4667.65
Maximum14685.5
Range18574.5
Interquartile range (IQR)1644

Descriptive statistics

Standard deviation1583.208777
Coefficient of variation (CV)0.9566230251
Kurtosis5.034739415
Mean1654.997565
Median Absolute Deviation (MAD)749.5
Skewness1.872821309
Sum165512996.5
Variance2506550.033
MonotonicityNot monotonic
2023-07-01T06:59:05.442643image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
276.5 45
 
< 0.1%
265 44
 
< 0.1%
254.5 43
 
< 0.1%
195 43
 
< 0.1%
230 42
 
< 0.1%
218 39
 
< 0.1%
294 39
 
< 0.1%
263 38
 
< 0.1%
270 38
 
< 0.1%
264.5 38
 
< 0.1%
Other values (14128) 99599
99.6%
ValueCountFrequency (%)
-3889 1
< 0.1%
-3833 1
< 0.1%
-3493 1
< 0.1%
-3478 1
< 0.1%
-3421.5 1
< 0.1%
ValueCountFrequency (%)
14685.5 1
< 0.1%
12741 1
< 0.1%
12519.5 1
< 0.1%
12449 1
< 0.1%
12376.5 1
< 0.1%

T
Real number (ℝ)

Distinct17035
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2598.392844
Minimum-3609
Maximum18203.5
Zeros0
Zeros (%)0.0%
Negative864
Negative (%)0.9%
Memory size3.5 MiB
2023-07-01T06:59:05.554173image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-3609
5-th percentile320
Q11089
median2057.5
Q33650
95-th percentile6763
Maximum18203.5
Range21812.5
Interquartile range (IQR)2561

Descriptive statistics

Standard deviation2066.343867
Coefficient of variation (CV)0.7952392081
Kurtosis2.324749188
Mean2598.392844
Median Absolute Deviation (MAD)1180
Skewness1.382480241
Sum259860071.5
Variance4269776.978
MonotonicityNot monotonic
2023-07-01T06:59:05.650326image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1259.5 29
 
< 0.1%
1895 29
 
< 0.1%
1144 28
 
< 0.1%
1276 28
 
< 0.1%
941 28
 
< 0.1%
808.5 27
 
< 0.1%
1297 27
 
< 0.1%
1552 26
 
< 0.1%
403.5 26
 
< 0.1%
1288 26
 
< 0.1%
Other values (17025) 99734
99.7%
ValueCountFrequency (%)
-3609 1
< 0.1%
-3553 1
< 0.1%
-3213 1
< 0.1%
-3141.5 1
< 0.1%
-3062 1
< 0.1%
ValueCountFrequency (%)
18203.5 1
< 0.1%
15532 1
< 0.1%
14400.5 1
< 0.1%
14373.5 1
< 0.1%
13753 1
< 0.1%

U
Real number (ℝ)

Distinct47130
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8943.124662
Minimum-43165.97279
Maximum12443
Zeros11
Zeros (%)< 0.1%
Negative70352
Negative (%)70.3%
Memory size3.5 MiB
2023-07-01T06:59:05.753250image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-43165.97279
5-th percentile-33567.62279
Q1-18750.22279
median-1870.75
Q3217.625
95-th percentile3622
Maximum12443
Range55608.97279
Interquartile range (IQR)18967.84779

Descriptive statistics

Standard deviation12315.95073
Coefficient of variation (CV)-1.377141793
Kurtosis-0.4745386945
Mean-8943.124662
Median Absolute Deviation (MAD)4388.486395
Skewness-0.8618870364
Sum-894384011.2
Variance151682642.4
MonotonicityNot monotonic
2023-07-01T06:59:05.848925image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-109.5 30
 
< 0.1%
-139.5 29
 
< 0.1%
-57 29
 
< 0.1%
-141 26
 
< 0.1%
-382.5 25
 
< 0.1%
-365 25
 
< 0.1%
-273 24
 
< 0.1%
-56 24
 
< 0.1%
-263.5 24
 
< 0.1%
-235 24
 
< 0.1%
Other values (47120) 99748
99.7%
ValueCountFrequency (%)
-43165.97279 1
< 0.1%
-43149.47279 1
< 0.1%
-43129.97279 1
< 0.1%
-43096.97279 1
< 0.1%
-43092.97279 1
< 0.1%
ValueCountFrequency (%)
12443 1
< 0.1%
12431.5 1
< 0.1%
12420.5 1
< 0.1%
12419.5 1
< 0.1%
12359 1
< 0.1%

V
Real number (ℝ)

Distinct47879
Distinct (%)47.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8081.371998
Minimum-42304.44069
Maximum13881
Zeros7
Zeros (%)< 0.1%
Negative60459
Negative (%)60.5%
Memory size3.5 MiB
2023-07-01T06:59:05.952786image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-42304.44069
5-th percentile-32706.09069
Q1-17785.56569
median-1269.5
Q3986.5
95-th percentile4845.5
Maximum13881
Range56185.44069
Interquartile range (IQR)18772.06569

Descriptive statistics

Standard deviation12292.84651
Coefficient of variation (CV)-1.521133603
Kurtosis-0.4509240502
Mean-8081.371998
Median Absolute Deviation (MAD)4679.94069
Skewness-0.8534435533
Sum-808201850.8
Variance151114075.2
MonotonicityNot monotonic
2023-07-01T06:59:06.047304image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-295.5 27
 
< 0.1%
902.5 27
 
< 0.1%
-296.5 24
 
< 0.1%
-291 24
 
< 0.1%
301 23
 
< 0.1%
39.5 22
 
< 0.1%
339 22
 
< 0.1%
283 21
 
< 0.1%
288 21
 
< 0.1%
281 21
 
< 0.1%
Other values (47869) 99776
99.8%
ValueCountFrequency (%)
-42304.44069 1
< 0.1%
-42287.94069 1
< 0.1%
-42268.44069 1
< 0.1%
-42235.44069 1
< 0.1%
-42231.44069 1
< 0.1%
ValueCountFrequency (%)
13881 1
< 0.1%
13869.5 1
< 0.1%
13858.5 1
< 0.1%
13857.5 1
< 0.1%
13797 1
< 0.1%

W
Real number (ℝ)

Distinct46679
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9878.680478
Minimum-44106.27778
Maximum11649
Zeros5
Zeros (%)< 0.1%
Negative81316
Negative (%)81.3%
Memory size3.5 MiB
2023-07-01T06:59:06.151685image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-44106.27778
5-th percentile-34507.92778
Q1-19690.52778
median-2778.5
Q3-282.5
95-th percentile2088.5
Maximum11649
Range55755.27778
Interquartile range (IQR)19408.02778

Descriptive statistics

Standard deviation12425.77812
Coefficient of variation (CV)-1.257837841
Kurtosis-0.5129311339
Mean-9878.680478
Median Absolute Deviation (MAD)4188.5
Skewness-0.8668048305
Sum-987947077.2
Variance154399962
MonotonicityNot monotonic
2023-07-01T06:59:06.247013image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-465 31
 
< 0.1%
-244.5 29
 
< 0.1%
-251 29
 
< 0.1%
-257.5 29
 
< 0.1%
-243 28
 
< 0.1%
-227.5 28
 
< 0.1%
-250.5 28
 
< 0.1%
-262.5 28
 
< 0.1%
-241 28
 
< 0.1%
-253 27
 
< 0.1%
Other values (46669) 99723
99.7%
ValueCountFrequency (%)
-44106.27778 1
< 0.1%
-44089.77778 1
< 0.1%
-44070.27778 1
< 0.1%
-44037.27778 1
< 0.1%
-44033.27778 1
< 0.1%
ValueCountFrequency (%)
11649 1
< 0.1%
11637.5 1
< 0.1%
11626.5 1
< 0.1%
11625.5 1
< 0.1%
11565 1
< 0.1%

X
Real number (ℝ)

Distinct51662
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9106.07571
Minimum-43332.07341
Maximum14386
Zeros3
Zeros (%)< 0.1%
Negative75815
Negative (%)75.8%
Memory size3.5 MiB
2023-07-01T06:59:06.349423image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-43332.07341
5-th percentile-33733.72341
Q1-18337.19841
median-4332.75
Q3-59
95-th percentile8083.15
Maximum14386
Range57718.07341
Interquartile range (IQR)18278.19841

Descriptive statistics

Standard deviation12515.16536
Coefficient of variation (CV)-1.374375281
Kurtosis-0.4560057396
Mean-9106.07571
Median Absolute Deviation (MAD)6519.75
Skewness-0.7059431568
Sum-910680419.6
Variance156629364
MonotonicityNot monotonic
2023-07-01T06:59:06.675675image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-273.5 32
 
< 0.1%
-260.5 31
 
< 0.1%
-365 30
 
< 0.1%
-263.5 27
 
< 0.1%
-270 27
 
< 0.1%
-370.5 26
 
< 0.1%
-256.5 25
 
< 0.1%
-262.5 25
 
< 0.1%
-257 25
 
< 0.1%
-243.5 25
 
< 0.1%
Other values (51652) 99735
99.7%
ValueCountFrequency (%)
-43332.07341 1
< 0.1%
-43315.57341 1
< 0.1%
-43296.07341 1
< 0.1%
-43263.07341 1
< 0.1%
-43259.07341 1
< 0.1%
ValueCountFrequency (%)
14386 1
< 0.1%
14184 1
< 0.1%
14108.5 1
< 0.1%
13743.5 1
< 0.1%
13735.5 1
< 0.1%

Y
Real number (ℝ)

Distinct53210
Distinct (%)53.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6644.559685
Minimum-40871.50895
Maximum17206
Zeros2
Zeros (%)< 0.1%
Negative56690
Negative (%)56.7%
Memory size3.5 MiB
2023-07-01T06:59:06.782871image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-40871.50895
5-th percentile-31273.15895
Q1-15876.63395
median-1634
Q32563.5
95-th percentile10942.325
Maximum17206
Range58077.50895
Interquartile range (IQR)18440.13395

Descriptive statistics

Standard deviation12567.65061
Coefficient of variation (CV)-1.891419629
Kurtosis-0.4586515344
Mean-6644.559685
Median Absolute Deviation (MAD)6261
Skewness-0.6765830189
Sum-664509125
Variance157945841.9
MonotonicityNot monotonic
2023-07-01T06:59:06.881401image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2400.5 27
 
< 0.1%
2430.5 25
 
< 0.1%
231 22
 
< 0.1%
2413.5 22
 
< 0.1%
2420.5 20
 
< 0.1%
2393.5 19
 
< 0.1%
2417 19
 
< 0.1%
2417.5 19
 
< 0.1%
2404.5 18
 
< 0.1%
2414.5 18
 
< 0.1%
Other values (53200) 99799
99.8%
ValueCountFrequency (%)
-40871.50895 1
< 0.1%
-40855.00895 1
< 0.1%
-40835.50895 1
< 0.1%
-40802.50895 1
< 0.1%
-40798.50895 1
< 0.1%
ValueCountFrequency (%)
17206 1
< 0.1%
17004 1
< 0.1%
16928.5 1
< 0.1%
16563.5 1
< 0.1%
16555.5 1
< 0.1%

Z
Real number (ℝ)

Distinct51811
Distinct (%)51.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-10547.81394
Minimum-44774.40492
Maximum12156
Zeros0
Zeros (%)0.0%
Negative86626
Negative (%)86.6%
Memory size3.5 MiB
2023-07-01T06:59:06.989003image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-44774.40492
5-th percentile-35176.05492
Q1-19779.52992
median-5655.90492
Q3-1296
95-th percentile6914.125
Maximum12156
Range56930.40492
Interquartile range (IQR)18483.52992

Descriptive statistics

Standard deviation12509.02978
Coefficient of variation (CV)-1.185935763
Kurtosis-0.4632931338
Mean-10547.81394
Median Absolute Deviation (MAD)6250.40492
Skewness-0.7115388304
Sum-1054865777
Variance156475826.1
MonotonicityNot monotonic
2023-07-01T06:59:07.083432image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1328 23
 
< 0.1%
-1317.5 23
 
< 0.1%
-393 23
 
< 0.1%
-1304.5 22
 
< 0.1%
-1287.5 22
 
< 0.1%
-1322.5 22
 
< 0.1%
-397.5 21
 
< 0.1%
-1310.5 20
 
< 0.1%
-291.5 20
 
< 0.1%
-1319 19
 
< 0.1%
Other values (51801) 99793
99.8%
ValueCountFrequency (%)
-44774.40492 1
< 0.1%
-44757.90492 1
< 0.1%
-44738.40492 1
< 0.1%
-44705.40492 1
< 0.1%
-44701.40492 1
< 0.1%
ValueCountFrequency (%)
12156 1
< 0.1%
11954 1
< 0.1%
11878.5 1
< 0.1%
11513.5 1
< 0.1%
11505.5 1
< 0.1%

AA
Real number (ℝ)

Distinct78421
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8215.619402
Minimum-42424.41715
Maximum3699.76858
Zeros1
Zeros (%)< 0.1%
Negative69730
Negative (%)69.7%
Memory size3.5 MiB
2023-07-01T06:59:07.190543image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-42424.41715
5-th percentile-32826.06715
Q1-17000.66715
median-129.63936
Q313.31419
95-th percentile319.2897835
Maximum3699.76858
Range46124.18573
Interquartile range (IQR)17013.98134

Descriptive statistics

Standard deviation11704.50308
Coefficient of variation (CV)-1.424664716
Kurtosis-0.1304780204
Mean-8215.619402
Median Absolute Deviation (MAD)345.736485
Skewness-1.112465515
Sum-821627665.1
Variance136995392.4
MonotonicityNot monotonic
2023-07-01T06:59:07.295238image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.25 80
 
0.1%
0.25 52
 
0.1%
-1.25 38
 
< 0.1%
2.75 29
 
< 0.1%
0.75 26
 
< 0.1%
-0.75 22
 
< 0.1%
-3.25 22
 
< 0.1%
8.75 22
 
< 0.1%
4.75 21
 
< 0.1%
-2.25 21
 
< 0.1%
Other values (78411) 99675
99.7%
ValueCountFrequency (%)
-42424.41715 1
< 0.1%
-42407.91715 1
< 0.1%
-42388.41715 1
< 0.1%
-42355.41715 1
< 0.1%
-42351.41715 1
< 0.1%
ValueCountFrequency (%)
3699.76858 1
< 0.1%
3050.76858 1
< 0.1%
2887.26858 1
< 0.1%
2882.76858 1
< 0.1%
2880.76858 1
< 0.1%

AB
Real number (ℝ)

Distinct73074
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8018.583892
Minimum-42227.39122
Maximum4173.72297
Zeros27
Zeros (%)< 0.1%
Negative48598
Negative (%)48.6%
Memory size3.5 MiB
2023-07-01T06:59:07.397055image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-42227.39122
5-th percentile-32629.04122
Q1-16803.64122
median7.363175
Q3135.4467925
95-th percentile640.3393585
Maximum4173.72297
Range46401.11419
Interquartile range (IQR)16939.08801

Descriptive statistics

Standard deviation11704.44658
Coefficient of variation (CV)-1.459665041
Kurtosis-0.1302595183
Mean-8018.583892
Median Absolute Deviation (MAD)391.82939
Skewness-1.112436403
Sum-801922537.9
Variance136994069.8
MonotonicityNot monotonic
2023-07-01T06:59:07.495598image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 31
 
< 0.1%
18 30
 
< 0.1%
8 29
 
< 0.1%
0 27
 
< 0.1%
18.5 27
 
< 0.1%
17.5 27
 
< 0.1%
2 26
 
< 0.1%
13.5 26
 
< 0.1%
15 26
 
< 0.1%
16.5 25
 
< 0.1%
Other values (73064) 99734
99.7%
ValueCountFrequency (%)
-42227.39122 1
< 0.1%
-42210.89122 1
< 0.1%
-42191.39122 1
< 0.1%
-42158.39122 1
< 0.1%
-42154.39122 1
< 0.1%
ValueCountFrequency (%)
4173.72297 1
< 0.1%
3524.72297 1
< 0.1%
3361.22297 1
< 0.1%
3356.72297 1
< 0.1%
3354.72297 1
< 0.1%

AC
Real number (ℝ)

Distinct73181
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8422.729245
Minimum-42631.62379
Maximum2094.43919
Zeros18
Zeros (%)< 0.1%
Negative91466
Negative (%)91.5%
Memory size3.5 MiB
2023-07-01T06:59:07.597478image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-42631.62379
5-th percentile-33033.27379
Q1-17207.87379
median-387.619935
Q3-72.326855
95-th percentile44.5944245
Maximum2094.43919
Range44726.06298
Interquartile range (IQR)17135.54694

Descriptive statistics

Standard deviation11704.79768
Coefficient of variation (CV)-1.389668045
Kurtosis-0.1307710679
Mean-8422.729245
Median Absolute Deviation (MAD)403.442565
Skewness-1.112374376
Sum-842340306.3
Variance137002288.8
MonotonicityNot monotonic
2023-07-01T06:59:07.696423image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-17.5 33
 
< 0.1%
-24 33
 
< 0.1%
-12.5 33
 
< 0.1%
-19 33
 
< 0.1%
-12 32
 
< 0.1%
-10 31
 
< 0.1%
-15 31
 
< 0.1%
-13.5 31
 
< 0.1%
-9.5 31
 
< 0.1%
-11.5 30
 
< 0.1%
Other values (73171) 99690
99.7%
ValueCountFrequency (%)
-42631.62379 1
< 0.1%
-42615.12379 1
< 0.1%
-42595.62379 1
< 0.1%
-42562.62379 1
< 0.1%
-42558.62379 1
< 0.1%
ValueCountFrequency (%)
2094.43919 1
< 0.1%
1871.42905 1
< 0.1%
1781.42905 1
< 0.1%
1705.92905 1
< 0.1%
1576.42905 1
< 0.1%

AD
Real number (ℝ)

Distinct11490
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.1162607
Minimum-5662
Maximum11756
Zeros88
Zeros (%)0.1%
Negative48967
Negative (%)49.0%
Memory size3.5 MiB
2023-07-01T06:59:07.797546image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-5662
5-th percentile-1388.5
Q1-284
median6.5
Q3288
95-th percentile1479.65
Maximum11756
Range17418
Interquartile range (IQR)572

Descriptive statistics

Standard deviation936.3334869
Coefficient of variation (CV)40.50540436
Kurtosis7.666512115
Mean23.1162607
Median Absolute Deviation (MAD)286.25
Skewness0.4740199369
Sum2311811
Variance876720.3987
MonotonicityNot monotonic
2023-07-01T06:59:07.914133image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 100
 
0.1%
25 98
 
0.1%
12 97
 
0.1%
14 94
 
0.1%
40 91
 
0.1%
13 91
 
0.1%
39 90
 
0.1%
4.5 90
 
0.1%
9.5 89
 
0.1%
8 89
 
0.1%
Other values (11480) 99079
99.1%
ValueCountFrequency (%)
-5662 1
< 0.1%
-5575.5 1
< 0.1%
-5472 1
< 0.1%
-5462.5 1
< 0.1%
-5435.5 1
< 0.1%
ValueCountFrequency (%)
11756 1
< 0.1%
9084.5 1
< 0.1%
7953 1
< 0.1%
7926 1
< 0.1%
7305.5 1
< 0.1%

AE
Real number (ℝ)

Distinct18518
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.36840553
Minimum-7794
Maximum13486
Zeros40
Zeros (%)< 0.1%
Negative48668
Negative (%)48.7%
Memory size3.5 MiB
2023-07-01T06:59:08.019165image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-7794
5-th percentile-2950.15
Q1-743.5
median26
Q3811.5
95-th percentile3156
Maximum13486
Range21280
Interquartile range (IQR)1555

Descriptive statistics

Standard deviation1833.598029
Coefficient of variation (CV)30.37347124
Kurtosis2.622569594
Mean60.36840553
Median Absolute Deviation (MAD)779
Skewness0.2934581911
Sum6037323.5
Variance3362081.732
MonotonicityNot monotonic
2023-07-01T06:59:08.108449image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-14.5 46
 
< 0.1%
-19 45
 
< 0.1%
-12.5 43
 
< 0.1%
-41.5 43
 
< 0.1%
-18.5 42
 
< 0.1%
-2.5 42
 
< 0.1%
-12 41
 
< 0.1%
-59 41
 
< 0.1%
-21 41
 
< 0.1%
0 40
 
< 0.1%
Other values (18508) 99584
99.6%
ValueCountFrequency (%)
-7794 1
< 0.1%
-7658.5 1
< 0.1%
-7631.5 1
< 0.1%
-7523 1
< 0.1%
-7519.5 1
< 0.1%
ValueCountFrequency (%)
13486 1
< 0.1%
10814.5 1
< 0.1%
10276 1
< 0.1%
10054.5 1
< 0.1%
9984 1
< 0.1%

AF
Real number (ℝ)

Distinct14384
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.08348332
Minimum-6704
Maximum12205.5
Zeros68
Zeros (%)0.1%
Negative49067
Negative (%)49.1%
Memory size3.5 MiB
2023-07-01T06:59:08.205256image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-6704
5-th percentile-2076
Q1-464.5
median7.5
Q3474.5
95-th percentile2035
Maximum12205.5
Range18909.5
Interquartile range (IQR)939

Descriptive statistics

Standard deviation1304.794359
Coefficient of variation (CV)81.12635386
Kurtosis6.289613391
Mean16.08348332
Median Absolute Deviation (MAD)469
Skewness0.5376675991
Sum1608477
Variance1702488.32
MonotonicityNot monotonic
2023-07-01T06:59:08.309456image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.5 78
 
0.1%
4 71
 
0.1%
-9 69
 
0.1%
10.5 69
 
0.1%
0 68
 
0.1%
3.5 68
 
0.1%
10 67
 
0.1%
-7.5 67
 
0.1%
39.5 65
 
0.1%
61 65
 
0.1%
Other values (14374) 99321
99.3%
ValueCountFrequency (%)
-6704 1
< 0.1%
-6565.5 1
< 0.1%
-6555.5 1
< 0.1%
-6467 1
< 0.1%
-6424.5 1
< 0.1%
ValueCountFrequency (%)
12205.5 1
< 0.1%
10591 1
< 0.1%
10442 1
< 0.1%
10220.5 1
< 0.1%
10150 1
< 0.1%

AG
Real number (ℝ)

Distinct9336
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-25.97271218
Minimum-6488.5
Maximum5977.5
Zeros206
Zeros (%)0.2%
Negative51960
Negative (%)52.0%
Memory size3.5 MiB
2023-07-01T06:59:08.422246image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-6488.5
5-th percentile-1051
Q1-160.5
median-5.5
Q3150.5
95-th percentile961.5
Maximum5977.5
Range12466
Interquartile range (IQR)311

Descriptive statistics

Standard deviation689.3489939
Coefficient of variation (CV)-26.54127875
Kurtosis12.56980545
Mean-25.97271218
Median Absolute Deviation (MAD)155.5
Skewness-1.126750053
Sum-2597479
Variance475202.0354
MonotonicityNot monotonic
2023-07-01T06:59:08.525776image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.5 216
 
0.2%
-1.5 210
 
0.2%
0 206
 
0.2%
1 203
 
0.2%
-1 199
 
0.2%
-2 189
 
0.2%
2 189
 
0.2%
-12 186
 
0.2%
-8.5 182
 
0.2%
3 180
 
0.2%
Other values (9326) 98048
98.0%
ValueCountFrequency (%)
-6488.5 1
< 0.1%
-6409 1
< 0.1%
-6346.5 1
< 0.1%
-6253 1
< 0.1%
-6190.5 1
< 0.1%
ValueCountFrequency (%)
5977.5 1
< 0.1%
5205.5 1
< 0.1%
5193.5 1
< 0.1%
5075.5 1
< 0.1%
4898 1
< 0.1%

AH
Real number (ℝ)

Distinct14041
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean467.3275438
Minimum-5789
Maximum13607.5
Zeros45
Zeros (%)< 0.1%
Negative30403
Negative (%)30.4%
Memory size3.5 MiB
2023-07-01T06:59:08.631774image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-5789
5-th percentile-1271.5
Q1-97.5
median265.25
Q3915.5
95-th percentile2698.5
Maximum13607.5
Range19396.5
Interquartile range (IQR)1013

Descriptive statistics

Standard deviation1301.087587
Coefficient of variation (CV)2.784102081
Kurtosis7.313717087
Mean467.3275438
Median Absolute Deviation (MAD)478.75
Skewness1.353053627
Sum46736493
Variance1692828.91
MonotonicityNot monotonic
2023-07-01T06:59:08.734656image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55 77
 
0.1%
42.5 68
 
0.1%
16.5 65
 
0.1%
39.5 62
 
0.1%
48.5 62
 
0.1%
73.5 62
 
0.1%
65.5 61
 
0.1%
62.5 61
 
0.1%
15 61
 
0.1%
9.5 57
 
0.1%
Other values (14031) 99372
99.4%
ValueCountFrequency (%)
-5789 1
< 0.1%
-5787 1
< 0.1%
-5719.5 1
< 0.1%
-5382.5 1
< 0.1%
-5251 1
< 0.1%
ValueCountFrequency (%)
13607.5 1
< 0.1%
11425 1
< 0.1%
11335 1
< 0.1%
11113.5 1
< 0.1%
11043 1
< 0.1%

AI
Real number (ℝ)

Distinct8627
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean426.9656228
Minimum-3476.5
Maximum8847.5
Zeros37
Zeros (%)< 0.1%
Negative14142
Negative (%)14.1%
Memory size3.5 MiB
2023-07-01T06:59:08.837799image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-3476.5
5-th percentile-282
Q168.5
median261
Q3624
95-th percentile1711.5
Maximum8847.5
Range12324
Interquartile range (IQR)555.5

Descriptive statistics

Standard deviation675.7749112
Coefficient of variation (CV)1.582738457
Kurtosis7.184845696
Mean426.9656228
Median Absolute Deviation (MAD)233
Skewness1.642331997
Sum42699978
Variance456671.7305
MonotonicityNot monotonic
2023-07-01T06:59:08.939902image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.5 117
 
0.1%
42 111
 
0.1%
54 107
 
0.1%
48.5 105
 
0.1%
12.5 104
 
0.1%
86.5 102
 
0.1%
61 102
 
0.1%
33 101
 
0.1%
37.5 101
 
0.1%
35 101
 
0.1%
Other values (8617) 98957
98.9%
ValueCountFrequency (%)
-3476.5 1
< 0.1%
-3471 1
< 0.1%
-3396.5 1
< 0.1%
-3305.5 1
< 0.1%
-3277.5 1
< 0.1%
ValueCountFrequency (%)
8847.5 1
< 0.1%
6467 1
< 0.1%
6405 1
< 0.1%
6176 1
< 0.1%
6128.5 1
< 0.1%

AJ
Real number (ℝ)

Distinct14325
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-452.6665067
Minimum-8280.5
Maximum11306.5
Zeros38
Zeros (%)< 0.1%
Negative69257
Negative (%)69.3%
Memory size3.5 MiB
2023-07-01T06:59:09.275133image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-8280.5
5-th percentile-2834.5
Q1-922.5
median-249
Q396.5
95-th percentile1306.825
Maximum11306.5
Range19587
Interquartile range (IQR)1019

Descriptive statistics

Standard deviation1291.756469
Coefficient of variation (CV)-2.853660365
Kurtosis3.993084481
Mean-452.6665067
Median Absolute Deviation (MAD)477
Skewness-0.5321655593
Sum-45270272
Variance1668634.775
MonotonicityNot monotonic
2023-07-01T06:59:09.372748image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-48.5 71
 
0.1%
-10.5 66
 
0.1%
-31.5 63
 
0.1%
-55.5 60
 
0.1%
-59 60
 
0.1%
-62 59
 
0.1%
-11.5 59
 
0.1%
-30 59
 
0.1%
-74 58
 
0.1%
-23 58
 
0.1%
Other values (14315) 99395
99.4%
ValueCountFrequency (%)
-8280.5 1
< 0.1%
-8121 1
< 0.1%
-8077 1
< 0.1%
-7962.5 1
< 0.1%
-7952 1
< 0.1%
ValueCountFrequency (%)
11306.5 1
< 0.1%
8635 1
< 0.1%
7503.5 1
< 0.1%
7476.5 1
< 0.1%
7296 1
< 0.1%

AK
Real number (ℝ)

Distinct9032
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-493.8723402
Minimum-10255
Maximum3357.5
Zeros50
Zeros (%)< 0.1%
Negative87213
Negative (%)87.2%
Memory size3.5 MiB
2023-07-01T06:59:09.481023image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-10255
5-th percentile-1874.5
Q1-680.5
median-275.5
Q3-83
95-th percentile214
Maximum3357.5
Range13612.5
Interquartile range (IQR)597.5

Descriptive statistics

Standard deviation799.7023897
Coefficient of variation (CV)-1.619249196
Kurtosis23.04973745
Mean-493.8723402
Median Absolute Deviation (MAD)238.5
Skewness-3.409733842
Sum-49391185
Variance639523.912
MonotonicityNot monotonic
2023-07-01T06:59:09.590569image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-84.5 105
 
0.1%
-61.5 104
 
0.1%
-72 102
 
0.1%
-71.5 101
 
0.1%
-133 98
 
0.1%
-43.5 96
 
0.1%
-70 96
 
0.1%
-38.5 94
 
0.1%
-70.5 94
 
0.1%
-64 94
 
0.1%
Other values (9022) 99024
99.0%
ValueCountFrequency (%)
-10255 1
< 0.1%
-10192.5 1
< 0.1%
-10190.5 1
< 0.1%
-10177.5 1
< 0.1%
-10172.5 1
< 0.1%
ValueCountFrequency (%)
3357.5 1
< 0.1%
3212 1
< 0.1%
2995 1
< 0.1%
2933 1
< 0.1%
2882.5 1
< 0.1%

AL
Real number (ℝ)

Distinct8441
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean864.774578
Minimum0
Maximum12721
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:09.697567image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile89
Q1265.5
median559
Q31129.5
95-th percentile2653
Maximum12721
Range12721
Interquartile range (IQR)864

Descriptive statistics

Standard deviation928.8884293
Coefficient of variation (CV)1.07413938
Kurtosis11.86906031
Mean864.774578
Median Absolute Deviation (MAD)354
Skewness2.720384183
Sum86484376
Variance862833.714
MonotonicityNot monotonic
2023-07-01T06:59:09.803101image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
161.5 87
 
0.1%
148.5 84
 
0.1%
143 83
 
0.1%
182.5 77
 
0.1%
152.5 76
 
0.1%
164 75
 
0.1%
143.5 75
 
0.1%
175.5 75
 
0.1%
125.5 73
 
0.1%
241 73
 
0.1%
Other values (8431) 99230
99.2%
ValueCountFrequency (%)
0 1
 
< 0.1%
0.5 9
< 0.1%
1 3
 
< 0.1%
1.5 2
 
< 0.1%
2 5
< 0.1%
ValueCountFrequency (%)
12721 1
< 0.1%
11535.5 1
< 0.1%
11114.5 1
< 0.1%
10882.5 1
< 0.1%
10851.5 1
< 0.1%

AM
Real number (ℝ)

Distinct89226
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean441.6718723
Minimum-2436.696
Maximum9408.386
Zeros0
Zeros (%)0.0%
Negative22249
Negative (%)22.2%
Memory size3.5 MiB
2023-07-01T06:59:09.909055image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-2436.696
5-th percentile-308.4614
Q118.36
median231.021
Q3676.8055
95-th percentile1844.6162
Maximum9408.386
Range11845.082
Interquartile range (IQR)658.4455

Descriptive statistics

Standard deviation716.3534439
Coefficient of variation (CV)1.621913209
Kurtosis7.193606015
Mean441.6718723
Median Absolute Deviation (MAD)273.546
Skewness2.048518014
Sum44170720.6
Variance513162.2565
MonotonicityNot monotonic
2023-07-01T06:59:10.017370image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.796 13
 
< 0.1%
54.084 7
 
< 0.1%
182.932 7
 
< 0.1%
33.652 7
 
< 0.1%
18.26 7
 
< 0.1%
12.2 7
 
< 0.1%
40.632 7
 
< 0.1%
19.234 7
 
< 0.1%
6.596 7
 
< 0.1%
61.492 7
 
< 0.1%
Other values (89216) 99932
99.9%
ValueCountFrequency (%)
-2436.696 1
< 0.1%
-2356.696 1
< 0.1%
-2261.196 1
< 0.1%
-2151.196 1
< 0.1%
-2058.196 1
< 0.1%
ValueCountFrequency (%)
9408.386 1
< 0.1%
8650.518 1
< 0.1%
7232.3 1
< 0.1%
7000.3 1
< 0.1%
6969.3 1
< 0.1%

AN
Real number (ℝ)

Distinct91944
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179.9218932
Minimum-4040.652
Maximum7359.057
Zeros0
Zeros (%)0.0%
Negative38752
Negative (%)38.7%
Memory size3.5 MiB
2023-07-01T06:59:10.121839image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-4040.652
5-th percentile-718.7462
Q1-137.92525
median84.4265
Q3440.428
95-th percentile1357.4243
Maximum7359.057
Range11399.709
Interquartile range (IQR)578.35325

Descriptive statistics

Standard deviation641.2175729
Coefficient of variation (CV)3.563866305
Kurtosis3.993180252
Mean179.9218932
Median Absolute Deviation (MAD)277.7965
Skewness0.9204911897
Sum17993628.7
Variance411159.9758
MonotonicityNot monotonic
2023-07-01T06:59:10.225002image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.898 13
 
< 0.1%
4.9 7
 
< 0.1%
3.745 7
 
< 0.1%
34.958 7
 
< 0.1%
12.883 7
 
< 0.1%
126.284 7
 
< 0.1%
29.105 6
 
< 0.1%
35.504 6
 
< 0.1%
5.12 6
 
< 0.1%
4.245 6
 
< 0.1%
Other values (91934) 99936
99.9%
ValueCountFrequency (%)
-4040.652 1
< 0.1%
-3960.652 1
< 0.1%
-3865.152 1
< 0.1%
-3755.152 1
< 0.1%
-3662.152 1
< 0.1%
ValueCountFrequency (%)
7359.057 1
< 0.1%
6865.741 1
< 0.1%
4830.6 1
< 0.1%
4687.557 1
< 0.1%
4603.586 1
< 0.1%

AO
Real number (ℝ)

Distinct91885
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-243.1808125
Minimum-6633.348
Maximum4046.443
Zeros0
Zeros (%)0.0%
Negative64000
Negative (%)64.0%
Memory size3.5 MiB
2023-07-01T06:59:10.327226image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-6633.348
5-th percentile-1471.63295
Q1-482.5255
median-104.836
Q398.53925
95-th percentile605.393
Maximum4046.443
Range10679.791
Interquartile range (IQR)581.06475

Descriptive statistics

Standard deviation656.5596969
Coefficient of variation (CV)-2.699882816
Kurtosis5.677839827
Mean-243.1808125
Median Absolute Deviation (MAD)268.907
Skewness-1.441813715
Sum-24320026.7
Variance431070.6355
MonotonicityNot monotonic
2023-07-01T06:59:10.426759image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-10.102 13
 
< 0.1%
-19.605 8
 
< 0.1%
34.716 7
 
< 0.1%
4.042 7
 
< 0.1%
-20.105 7
 
< 0.1%
2.617 7
 
< 0.1%
-107.952 6
 
< 0.1%
-9.107 6
 
< 0.1%
-9.941 6
 
< 0.1%
7.864 6
 
< 0.1%
Other values (91875) 99935
99.9%
ValueCountFrequency (%)
-6633.348 1
< 0.1%
-6553.348 1
< 0.1%
-6457.848 1
< 0.1%
-6347.848 1
< 0.1%
-6254.848 1
< 0.1%
ValueCountFrequency (%)
4046.443 1
< 0.1%
3980.759 1
< 0.1%
2756.414 1
< 0.1%
2585.414 1
< 0.1%
2545.914 1
< 0.1%

AP
Real number (ℝ)

Distinct8652
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-928.0334973
Minimum-10830
Maximum0
Zeros2
Zeros (%)< 0.1%
Negative100006
Negative (%)> 99.9%
Memory size3.5 MiB
2023-07-01T06:59:10.529373image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-10830
5-th percentile-2828
Q1-1234
median-597.5
Q3-289
95-th percentile-98
Maximum0
Range10830
Interquartile range (IQR)945

Descriptive statistics

Standard deviation973.2424755
Coefficient of variation (CV)-1.048714813
Kurtosis10.99949474
Mean-928.0334973
Median Absolute Deviation (MAD)376
Skewness-2.59364492
Sum-92810774
Variance947200.9161
MonotonicityNot monotonic
2023-07-01T06:59:10.627864image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-195.5 75
 
0.1%
-242 71
 
0.1%
-273 70
 
0.1%
-138.5 70
 
0.1%
-143 69
 
0.1%
-177.5 69
 
0.1%
-278 69
 
0.1%
-111 69
 
0.1%
-230 69
 
0.1%
-300.5 68
 
0.1%
Other values (8642) 99309
99.3%
ValueCountFrequency (%)
-10830 1
< 0.1%
-10750 1
< 0.1%
-10748 1
< 0.1%
-10654.5 1
< 0.1%
-10544.5 1
< 0.1%
ValueCountFrequency (%)
0 2
< 0.1%
-0.5 3
< 0.1%
-1 1
 
< 0.1%
-2 1
 
< 0.1%
-4.5 2
< 0.1%

AQ
Real number (ℝ)

Distinct88961
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-504.9307915
Minimum-8237.304
Maximum2195.982
Zeros0
Zeros (%)0.0%
Negative81778
Negative (%)81.8%
Memory size3.5 MiB
2023-07-01T06:59:10.732104image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-8237.304
5-th percentile-1968.5504
Q1-751.691
median-267.14
Q3-45.0275
95-th percentile223.8235
Maximum2195.982
Range10433.286
Interquartile range (IQR)706.6635

Descriptive statistics

Standard deviation746.7985935
Coefficient of variation (CV)-1.479011789
Kurtosis8.591993104
Mean-504.9307915
Median Absolute Deviation (MAD)273.864
Skewness-2.230815262
Sum-50497118.6
Variance557708.1392
MonotonicityNot monotonic
2023-07-01T06:59:10.832698image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-15.796 13
 
< 0.1%
-21.932 9
 
< 0.1%
-64.286 7
 
< 0.1%
-14.2 7
 
< 0.1%
-3.734 7
 
< 0.1%
-15.084 7
 
< 0.1%
19.992 7
 
< 0.1%
-11.046 6
 
< 0.1%
-133.098 6
 
< 0.1%
-80.39 6
 
< 0.1%
Other values (88951) 99933
99.9%
ValueCountFrequency (%)
-8237.304 1
< 0.1%
-8157.304 1
< 0.1%
-8061.804 1
< 0.1%
-7951.804 1
< 0.1%
-7858.804 1
< 0.1%
ValueCountFrequency (%)
2195.982 1
< 0.1%
1997.114 1
< 0.1%
1613.672 1
< 0.1%
1500.628 1
< 0.1%
1464.064 1
< 0.1%

AR
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05796536277
Minimum0
Maximum1
Zeros94211
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:10.913049image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.233679108
Coefficient of variation (CV)4.031357639
Kurtosis12.31388963
Mean0.05796536277
Median Absolute Deviation (MAD)0
Skewness3.783337597
Sum5797
Variance0.05460592551
MonotonicityNot monotonic
2023-07-01T06:59:10.980487image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 94211
94.2%
1 5797
 
5.8%
ValueCountFrequency (%)
0 94211
94.2%
1 5797
 
5.8%
ValueCountFrequency (%)
1 5797
 
5.8%
0 94211
94.2%

AS
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05641548676
Minimum0
Maximum1
Zeros94366
Zeros (%)94.4%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:11.047177image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2307234533
Coefficient of variation (CV)4.089718383
Kurtosis12.78611693
Mean0.05641548676
Median Absolute Deviation (MAD)0
Skewness3.845238774
Sum5642
Variance0.05323331191
MonotonicityNot monotonic
2023-07-01T06:59:11.119174image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 94366
94.4%
1 5642
 
5.6%
ValueCountFrequency (%)
0 94366
94.4%
1 5642
 
5.6%
ValueCountFrequency (%)
1 5642
 
5.6%
0 94366
94.4%

AT
Real number (ℝ)

Distinct6587
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-12.61890549
Minimum-4045.5
Maximum5105
Zeros172
Zeros (%)0.2%
Negative50730
Negative (%)50.7%
Memory size3.5 MiB
2023-07-01T06:59:11.209488image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-4045.5
5-th percentile-714
Q1-145
median-2.5
Q3128.125
95-th percentile656.5
Maximum5105
Range9150.5
Interquartile range (IQR)273.125

Descriptive statistics

Standard deviation428.5442199
Coefficient of variation (CV)-33.96049049
Kurtosis6.59514308
Mean-12.61890549
Median Absolute Deviation (MAD)136.5
Skewness-0.2743574716
Sum-1261991.5
Variance183650.1484
MonotonicityNot monotonic
2023-07-01T06:59:11.308865image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-6 201
 
0.2%
11.5 194
 
0.2%
9.5 185
 
0.2%
8.5 178
 
0.2%
4 176
 
0.2%
-2.5 176
 
0.2%
-7.5 175
 
0.2%
-3 175
 
0.2%
9 174
 
0.2%
6 173
 
0.2%
Other values (6577) 98201
98.2%
ValueCountFrequency (%)
-4045.5 1
< 0.1%
-3723.5 1
< 0.1%
-3667 1
< 0.1%
-3545.5 1
< 0.1%
-3528 1
< 0.1%
ValueCountFrequency (%)
5105 1
< 0.1%
4192 1
< 0.1%
4040 1
< 0.1%
3410.5 1
< 0.1%
3398.5 1
< 0.1%

AU
Real number (ℝ)

Distinct13263
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.722397208
Minimum-5964.5
Maximum12812
Zeros66
Zeros (%)0.1%
Negative49081
Negative (%)49.1%
Memory size3.5 MiB
2023-07-01T06:59:11.407432image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-5964.5
5-th percentile-1847.5
Q1-456
median8.5
Q3450
95-th percentile1829
Maximum12812
Range18776.5
Interquartile range (IQR)906

Descriptive statistics

Standard deviation1162.416395
Coefficient of variation (CV)203.1345174
Kurtosis4.940990889
Mean5.722397208
Median Absolute Deviation (MAD)452
Skewness0.3940194167
Sum572285.5
Variance1351211.876
MonotonicityNot monotonic
2023-07-01T06:59:11.508054image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2 70
 
0.1%
0 66
 
0.1%
4 65
 
0.1%
-8 63
 
0.1%
8.5 62
 
0.1%
-15 61
 
0.1%
15 61
 
0.1%
21 60
 
0.1%
-12 60
 
0.1%
19 59
 
0.1%
Other values (13253) 99381
99.4%
ValueCountFrequency (%)
-5964.5 1
< 0.1%
-5962.5 1
< 0.1%
-5895 1
< 0.1%
-5631 1
< 0.1%
-5593.5 1
< 0.1%
ValueCountFrequency (%)
12812 1
< 0.1%
10140.5 1
< 0.1%
9009 1
< 0.1%
8982 1
< 0.1%
8423.5 1
< 0.1%

AV
Real number (ℝ)

Distinct14216
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.23074154
Minimum-5181.5
Maximum8221.5
Zeros51
Zeros (%)0.1%
Negative49050
Negative (%)49.0%
Memory size3.5 MiB
2023-07-01T06:59:11.826588image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-5181.5
5-th percentile-1996.5
Q1-537
median12.5
Q3656
95-th percentile2328.325
Maximum8221.5
Range13403
Interquartile range (IQR)1193

Descriptive statistics

Standard deviation1285.242272
Coefficient of variation (CV)18.83670385
Kurtosis2.336633083
Mean68.23074154
Median Absolute Deviation (MAD)593.5
Skewness0.3703653421
Sum6823620
Variance1651847.697
MonotonicityNot monotonic
2023-07-01T06:59:11.937998image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-57 57
 
0.1%
-74.5 56
 
0.1%
37 56
 
0.1%
-30 56
 
0.1%
-23 55
 
0.1%
-65 55
 
0.1%
12.5 55
 
0.1%
13 55
 
0.1%
-18 54
 
0.1%
31.5 54
 
0.1%
Other values (14206) 99455
99.4%
ValueCountFrequency (%)
-5181.5 1
< 0.1%
-5046 1
< 0.1%
-4907 1
< 0.1%
-4819.5 1
< 0.1%
-4790 1
< 0.1%
ValueCountFrequency (%)
8221.5 1
< 0.1%
8084 1
< 0.1%
7910.5 1
< 0.1%
7844 1
< 0.1%
7783 1
< 0.1%

AW
Real number (ℝ)

Distinct25218
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean661.7330464
Minimum-10776
Maximum19380
Zeros18
Zeros (%)< 0.1%
Negative39021
Negative (%)39.0%
Memory size3.5 MiB
2023-07-01T06:59:12.041232image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-10776
5-th percentile-3966.325
Q1-804.5
median357.5
Q32228.5
95-th percentile5568
Maximum19380
Range30156
Interquartile range (IQR)3033

Descriptive statistics

Standard deviation2922.840837
Coefficient of variation (CV)4.416948577
Kurtosis2.018755537
Mean661.7330464
Median Absolute Deviation (MAD)1539.5
Skewness0.4820774209
Sum66178598.5
Variance8542998.561
MonotonicityNot monotonic
2023-07-01T06:59:12.139672image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
298 31
 
< 0.1%
17.5 30
 
< 0.1%
287 29
 
< 0.1%
306.5 29
 
< 0.1%
298.5 28
 
< 0.1%
83.5 28
 
< 0.1%
299.5 28
 
< 0.1%
303.5 28
 
< 0.1%
344 27
 
< 0.1%
302.5 27
 
< 0.1%
Other values (25208) 99723
99.7%
ValueCountFrequency (%)
-10776 1
< 0.1%
-10749 1
< 0.1%
-10732 1
< 0.1%
-10731 1
< 0.1%
-10680 1
< 0.1%
ValueCountFrequency (%)
19380 1
< 0.1%
16860.5 1
< 0.1%
16708.5 1
< 0.1%
15718.5 1
< 0.1%
15456 1
< 0.1%

AX
Real number (ℝ)

Distinct14047
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean944.7392659
Minimum-4977.5
Maximum14685
Zeros19
Zeros (%)< 0.1%
Negative14561
Negative (%)14.6%
Memory size3.5 MiB
2023-07-01T06:59:12.246127image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-4977.5
5-th percentile-577
Q1177.5
median620
Q31453.5
95-th percentile3563.15
Maximum14685
Range19662.5
Interquartile range (IQR)1276

Descriptive statistics

Standard deviation1361.588444
Coefficient of variation (CV)1.441231981
Kurtosis5.915535185
Mean944.7392659
Median Absolute Deviation (MAD)544
Skewness1.586499596
Sum94481484.5
Variance1853923.09
MonotonicityNot monotonic
2023-07-01T06:59:12.351435image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
171.5 50
 
< 0.1%
158.5 49
 
< 0.1%
140 49
 
< 0.1%
134 49
 
< 0.1%
194.5 48
 
< 0.1%
192.5 48
 
< 0.1%
374.5 47
 
< 0.1%
67 47
 
< 0.1%
352.5 47
 
< 0.1%
161.5 46
 
< 0.1%
Other values (14037) 99528
99.5%
ValueCountFrequency (%)
-4977.5 1
< 0.1%
-4975.5 1
< 0.1%
-4908 1
< 0.1%
-4481 1
< 0.1%
-4354.5 1
< 0.1%
ValueCountFrequency (%)
14685 1
< 0.1%
12013.5 1
< 0.1%
11535.5 1
< 0.1%
11336 1
< 0.1%
11114.5 1
< 0.1%

AY
Real number (ℝ)

Distinct14297
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-972.8720852
Minimum-12478.5
Maximum11154.5
Zeros22
Zeros (%)< 0.1%
Negative86220
Negative (%)86.2%
Memory size3.5 MiB
2023-07-01T06:59:12.460636image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-12478.5
5-th percentile-3692.825
Q1-1493.5
median-626.5
Q3-186.5
95-th percentile597
Maximum11154.5
Range23633
Interquartile range (IQR)1307

Descriptive statistics

Standard deviation1400.165484
Coefficient of variation (CV)-1.439208201
Kurtosis5.903231128
Mean-972.8720852
Median Absolute Deviation (MAD)537.5
Skewness-1.44114775
Sum-97294991.5
Variance1960463.382
MonotonicityNot monotonic
2023-07-01T06:59:12.561669image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-175 56
 
0.1%
-188.5 56
 
0.1%
-166 54
 
0.1%
-102.5 52
 
0.1%
-156.5 51
 
0.1%
-213.5 50
 
< 0.1%
-154 50
 
< 0.1%
-168 49
 
< 0.1%
-324.5 49
 
< 0.1%
-150.5 49
 
< 0.1%
Other values (14287) 99492
99.5%
ValueCountFrequency (%)
-12478.5 1
< 0.1%
-12319 1
< 0.1%
-12275 1
< 0.1%
-12160.5 1
< 0.1%
-12150 1
< 0.1%
ValueCountFrequency (%)
11154.5 1
< 0.1%
8483 1
< 0.1%
7351.5 1
< 0.1%
7324.5 1
< 0.1%
6704 1
< 0.1%

AZ
Real number (ℝ)

Distinct20997
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-14.06640969
Minimum-5765
Maximum12919.75
Zeros21
Zeros (%)< 0.1%
Negative49919
Negative (%)49.9%
Memory size3.5 MiB
2023-07-01T06:59:12.664574image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-5765
5-th percentile-1879.75
Q1-485.25
median0.75
Q3453
95-th percentile1763
Maximum12919.75
Range18684.75
Interquartile range (IQR)938.25

Descriptive statistics

Standard deviation1149.528422
Coefficient of variation (CV)-81.72152294
Kurtosis4.715914341
Mean-14.06640969
Median Absolute Deviation (MAD)468.5
Skewness0.3030776871
Sum-1406753.5
Variance1321415.593
MonotonicityNot monotonic
2023-07-01T06:59:12.766126image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.25 44
 
< 0.1%
0.75 39
 
< 0.1%
7.75 38
 
< 0.1%
1.75 38
 
< 0.1%
6.25 38
 
< 0.1%
-7.75 37
 
< 0.1%
-10.75 37
 
< 0.1%
-9.25 36
 
< 0.1%
-41.25 35
 
< 0.1%
0.25 35
 
< 0.1%
Other values (20987) 99631
99.6%
ValueCountFrequency (%)
-5765 1
< 0.1%
-5763 1
< 0.1%
-5695.5 1
< 0.1%
-5690 1
< 0.1%
-5620 1
< 0.1%
ValueCountFrequency (%)
12919.75 1
< 0.1%
10248.25 1
< 0.1%
9116.75 1
< 0.1%
9089.75 1
< 0.1%
8469.25 1
< 0.1%

BA
Real number (ℝ)

Distinct39349
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean229.1508129
Minimum-11321.5
Maximum20640.5
Zeros7
Zeros (%)< 0.1%
Negative48614
Negative (%)48.6%
Memory size3.5 MiB
2023-07-01T06:59:12.872782image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-11321.5
5-th percentile-4939.825
Q1-1282.5
median64.75
Q31649
95-th percentile6397.2375
Maximum20640.5
Range31962
Interquartile range (IQR)2931.5

Descriptive statistics

Standard deviation3272.947089
Coefficient of variation (CV)14.28293903
Kurtosis2.960230376
Mean229.1508129
Median Absolute Deviation (MAD)1490.75
Skewness0.5017248821
Sum22916914.5
Variance10712182.65
MonotonicityNot monotonic
2023-07-01T06:59:12.968932image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-299.5 27
 
< 0.1%
-295 26
 
< 0.1%
621.25 25
 
< 0.1%
634.75 20
 
< 0.1%
628.25 20
 
< 0.1%
-193.5 20
 
< 0.1%
634.25 18
 
< 0.1%
-179 18
 
< 0.1%
-205.5 17
 
< 0.1%
-300.5 17
 
< 0.1%
Other values (39339) 99800
99.8%
ValueCountFrequency (%)
-11321.5 1
< 0.1%
-11064.5 1
< 0.1%
-10934 1
< 0.1%
-10897 1
< 0.1%
-10882 1
< 0.1%
ValueCountFrequency (%)
20640.5 1
< 0.1%
20038.5 1
< 0.1%
19776 1
< 0.1%
19481 1
< 0.1%
19479 1
< 0.1%

BB
Real number (ℝ)

Distinct28334
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2824.050921
Minimum-7025
Maximum28581.5
Zeros8
Zeros (%)< 0.1%
Negative17396
Negative (%)17.4%
Memory size3.5 MiB
2023-07-01T06:59:13.074776image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-7025
5-th percentile-1746.5
Q1428
median1910.5
Q34588
95-th percentile10275.5
Maximum28581.5
Range35606.5
Interquartile range (IQR)4160

Descriptive statistics

Standard deviation3872.216236
Coefficient of variation (CV)1.371156663
Kurtosis4.247929699
Mean2824.050921
Median Absolute Deviation (MAD)1860
Skewness1.443545854
Sum282427684.5
Variance14994058.57
MonotonicityNot monotonic
2023-07-01T06:59:13.173251image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1544.5 25
 
< 0.1%
509 24
 
< 0.1%
1590 24
 
< 0.1%
524 24
 
< 0.1%
41 23
 
< 0.1%
373.5 23
 
< 0.1%
515 23
 
< 0.1%
1574.5 23
 
< 0.1%
750 23
 
< 0.1%
1562 22
 
< 0.1%
Other values (28324) 99774
99.8%
ValueCountFrequency (%)
-7025 1
< 0.1%
-6992 1
< 0.1%
-6941 1
< 0.1%
-6914 1
< 0.1%
-6911.5 1
< 0.1%
ValueCountFrequency (%)
28581.5 1
< 0.1%
27979.5 1
< 0.1%
27717 1
< 0.1%
27422 1
< 0.1%
27420 1
< 0.1%

BC
Real number (ℝ)

Distinct28119
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2365.749295
Minimum-15733
Maximum12699.5
Zeros5
Zeros (%)< 0.1%
Negative81844
Negative (%)81.8%
Memory size3.5 MiB
2023-07-01T06:59:13.282648image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-15733
5-th percentile-9078
Q1-4085.125
median-1620.5
Q3-390
95-th percentile2817.5
Maximum12699.5
Range28432.5
Interquartile range (IQR)3695.125

Descriptive statistics

Standard deviation3494.389295
Coefficient of variation (CV)-1.477075065
Kurtosis1.184685656
Mean-2365.749295
Median Absolute Deviation (MAD)1631
Skewness-0.6162635874
Sum-236593855.5
Variance12210756.54
MonotonicityNot monotonic
2023-07-01T06:59:13.376119image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1159.5 27
 
< 0.1%
-1158.5 27
 
< 0.1%
-635.5 27
 
< 0.1%
-654 27
 
< 0.1%
-1169.5 26
 
< 0.1%
-1171 26
 
< 0.1%
-285.5 25
 
< 0.1%
-640 25
 
< 0.1%
-1560 24
 
< 0.1%
-641 24
 
< 0.1%
Other values (28109) 99750
99.7%
ValueCountFrequency (%)
-15733 1
< 0.1%
-15618 1
< 0.1%
-15597.5 1
< 0.1%
-15458.5 1
< 0.1%
-15361 1
< 0.1%
ValueCountFrequency (%)
12699.5 1
< 0.1%
12097.5 1
< 0.1%
11835 1
< 0.1%
11540 1
< 0.1%
11538 1
< 0.1%

BD
Real number (ℝ)

Distinct35905
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1146.631739
Minimum-23196
Maximum26648
Zeros15
Zeros (%)< 0.1%
Negative38262
Negative (%)38.3%
Memory size3.5 MiB
2023-07-01T06:59:13.480742image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-23196
5-th percentile-6979.8
Q1-975
median503
Q33929.5
95-th percentile10341.5
Maximum26648
Range49844
Interquartile range (IQR)4904.5

Descriptive statistics

Standard deviation5895.016198
Coefficient of variation (CV)5.141159096
Kurtosis3.212787901
Mean1146.631739
Median Absolute Deviation (MAD)2469
Skewness-0.1436420896
Sum114672347
Variance34751215.97
MonotonicityNot monotonic
2023-07-01T06:59:13.582564image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
317.5 32
 
< 0.1%
295.5 29
 
< 0.1%
313 26
 
< 0.1%
266 26
 
< 0.1%
327.5 26
 
< 0.1%
347.5 25
 
< 0.1%
330.5 25
 
< 0.1%
311 25
 
< 0.1%
309.5 25
 
< 0.1%
231 25
 
< 0.1%
Other values (35895) 99744
99.7%
ValueCountFrequency (%)
-23196 1
< 0.1%
-23184.5 1
< 0.1%
-23140.5 1
< 0.1%
-23139.5 1
< 0.1%
-23127 1
< 0.1%
ValueCountFrequency (%)
26648 1
< 0.1%
26046 1
< 0.1%
25783.5 1
< 0.1%
25488.5 1
< 0.1%
25486.5 1
< 0.1%

BE
Real number (ℝ)

Distinct51230
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2566.636124
Minimum-24896
Maximum28721
Zeros0
Zeros (%)0.0%
Negative39787
Negative (%)39.8%
Memory size3.5 MiB
2023-07-01T06:59:13.682619image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-24896
5-th percentile-14019.975
Q1-3841.125
median2546.5
Q39314.5
95-th percentile20527.15
Maximum28721
Range53617
Interquartile range (IQR)13155.625

Descriptive statistics

Standard deviation9973.58034
Coefficient of variation (CV)3.885856762
Kurtosis-0.2903211958
Mean2566.636124
Median Absolute Deviation (MAD)6512.25
Skewness0.09313696882
Sum256684145.5
Variance99472304.79
MonotonicityNot monotonic
2023-07-01T06:59:13.788386image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3658.5 24
 
< 0.1%
3653.5 23
 
< 0.1%
3683.5 20
 
< 0.1%
3643 19
 
< 0.1%
3648.5 19
 
< 0.1%
3666.5 18
 
< 0.1%
3652 18
 
< 0.1%
224 18
 
< 0.1%
3527 18
 
< 0.1%
3657 17
 
< 0.1%
Other values (51220) 99814
99.8%
ValueCountFrequency (%)
-24896 1
< 0.1%
-24879.5 1
< 0.1%
-24860 1
< 0.1%
-24827 1
< 0.1%
-24823 1
< 0.1%
ValueCountFrequency (%)
28721 1
< 0.1%
28709.5 1
< 0.1%
28641.5 1
< 0.1%
28531.5 1
< 0.1%
28512.5 1
< 0.1%

BF
Real number (ℝ)

Distinct45231
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7503.793926
Minimum-14047
Maximum33874.5
Zeros1
Zeros (%)< 0.1%
Negative12844
Negative (%)12.8%
Memory size3.5 MiB
2023-07-01T06:59:13.890767image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-14047
5-th percentile-4640.325
Q12239
median5471.25
Q311364.625
95-th percentile23190.325
Maximum33874.5
Range47921.5
Interquartile range (IQR)9125.625

Descriptive statistics

Standard deviation8243.07418
Coefficient of variation (CV)1.098520863
Kurtosis-0.04797594943
Mean7503.793926
Median Absolute Deviation (MAD)4127.25
Skewness0.5709602047
Sum750439423
Variance67948271.94
MonotonicityNot monotonic
2023-07-01T06:59:13.992556image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4637.5 25
 
< 0.1%
4650.5 23
 
< 0.1%
4533.5 22
 
< 0.1%
4644.5 22
 
< 0.1%
4654 21
 
< 0.1%
4657.5 21
 
< 0.1%
4630 21
 
< 0.1%
4667.5 20
 
< 0.1%
4630.5 20
 
< 0.1%
4627 20
 
< 0.1%
Other values (45221) 99793
99.8%
ValueCountFrequency (%)
-14047 1
< 0.1%
-14035.5 1
< 0.1%
-13991.5 1
< 0.1%
-13990.5 1
< 0.1%
-13978 1
< 0.1%
ValueCountFrequency (%)
33874.5 1
< 0.1%
33272.5 1
< 0.1%
33010 1
< 0.1%
32715 1
< 0.1%
32713 1
< 0.1%

BG
Real number (ℝ)

Distinct42304
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4582.547586
Minimum-27496
Maximum15884.5
Zeros0
Zeros (%)0.0%
Negative80263
Negative (%)80.3%
Memory size3.5 MiB
2023-07-01T06:59:14.098910image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-27496
5-th percentile-19001.325
Q1-7817.125
median-4009.5
Q3-955
95-th percentile6604.825
Maximum15884.5
Range43380.5
Interquartile range (IQR)6862.125

Descriptive statistics

Standard deviation6983.942583
Coefficient of variation (CV)-1.524030564
Kurtosis0.489184942
Mean-4582.547586
Median Absolute Deviation (MAD)3344.5
Skewness-0.5431205054
Sum-458291419
Variance48775454
MonotonicityNot monotonic
2023-07-01T06:59:14.423283image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1393.5 24
 
< 0.1%
-1398.5 22
 
< 0.1%
-1380.5 21
 
< 0.1%
-1376.5 20
 
< 0.1%
-663 20
 
< 0.1%
-1404 20
 
< 0.1%
-1041 19
 
< 0.1%
-1050 19
 
< 0.1%
-1377 19
 
< 0.1%
-1404.5 19
 
< 0.1%
Other values (42294) 99805
99.8%
ValueCountFrequency (%)
-27496 1
< 0.1%
-27484.5 1
< 0.1%
-27440.5 1
< 0.1%
-27439.5 1
< 0.1%
-27427 1
< 0.1%
ValueCountFrequency (%)
15884.5 1
< 0.1%
15282.5 1
< 0.1%
15020 1
< 0.1%
14725 1
< 0.1%
14723 1
< 0.1%

BI
Real number (ℝ)

Distinct20085
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.7162177
Minimum-7424
Maximum15306
Zeros22
Zeros (%)< 0.1%
Negative48401
Negative (%)48.4%
Memory size3.5 MiB
2023-07-01T06:59:14.519284image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-7424
5-th percentile-3225.325
Q1-880.5
median34.75
Q31023
95-th percentile3730.325
Maximum15306
Range22730
Interquartile range (IQR)1903.5

Descriptive statistics

Standard deviation2058.801086
Coefficient of variation (CV)17.94690521
Kurtosis2.067459298
Mean114.7162177
Median Absolute Deviation (MAD)948.75
Skewness0.3733716446
Sum11472539.5
Variance4238661.91
MonotonicityNot monotonic
2023-07-01T06:59:14.620360image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.5 41
 
< 0.1%
-5 36
 
< 0.1%
-68 35
 
< 0.1%
8.5 34
 
< 0.1%
-140 34
 
< 0.1%
-108.5 33
 
< 0.1%
-19 33
 
< 0.1%
-2 33
 
< 0.1%
-107.5 33
 
< 0.1%
23 33
 
< 0.1%
Other values (20075) 99663
99.7%
ValueCountFrequency (%)
-7424 1
< 0.1%
-7354 1
< 0.1%
-7352.5 1
< 0.1%
-7327.5 1
< 0.1%
-7316.5 1
< 0.1%
ValueCountFrequency (%)
15306 1
< 0.1%
12634.5 1
< 0.1%
11503 1
< 0.1%
11476 1
< 0.1%
10855.5 1
< 0.1%

BJ
Real number (ℝ)

Distinct16744
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.81900448
Minimum-7040.5
Maximum12443
Zeros18
Zeros (%)< 0.1%
Negative48226
Negative (%)48.2%
Memory size3.5 MiB
2023-07-01T06:59:14.718870image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-7040.5
5-th percentile-2452.325
Q1-634
median26.5
Q3739
95-th percentile2821.325
Maximum12443
Range19483.5
Interquartile range (IQR)1373

Descriptive statistics

Standard deviation1601.740719
Coefficient of variation (CV)22.94132853
Kurtosis3.322667219
Mean69.81900448
Median Absolute Deviation (MAD)686.5
Skewness0.3615652425
Sum6982459
Variance2565573.332
MonotonicityNot monotonic
2023-07-01T06:59:14.816321image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-5.5 63
 
0.1%
-26.5 52
 
0.1%
-26 50
 
< 0.1%
72.5 50
 
< 0.1%
11.5 49
 
< 0.1%
16.5 48
 
< 0.1%
16 47
 
< 0.1%
-18 47
 
< 0.1%
17.5 46
 
< 0.1%
-17.5 46
 
< 0.1%
Other values (16734) 99510
99.5%
ValueCountFrequency (%)
-7040.5 1
< 0.1%
-6940 1
< 0.1%
-6899.5 1
< 0.1%
-6870 1
< 0.1%
-6868.5 1
< 0.1%
ValueCountFrequency (%)
12443 1
< 0.1%
10293.5 1
< 0.1%
10143 1
< 0.1%
9921.5 1
< 0.1%
9851 1
< 0.1%

BK
Real number (ℝ)

Distinct23428
Distinct (%)23.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean212.224437
Minimum-9450.5
Maximum15306
Zeros17
Zeros (%)< 0.1%
Negative49880
Negative (%)49.9%
Memory size3.5 MiB
2023-07-01T06:59:14.922612image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-9450.5
5-th percentile-3827.825
Q1-966.5
median3.5
Q31173
95-th percentile5164.975
Maximum15306
Range24756.5
Interquartile range (IQR)2139.5

Descriptive statistics

Standard deviation2595.209971
Coefficient of variation (CV)12.22861046
Kurtosis2.680084823
Mean212.224437
Median Absolute Deviation (MAD)1076.5
Skewness0.6166221818
Sum21224141.5
Variance6735114.796
MonotonicityNot monotonic
2023-07-01T06:59:15.029315image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
282.5 40
 
< 0.1%
-67.5 39
 
< 0.1%
-84.5 38
 
< 0.1%
-323 38
 
< 0.1%
72 35
 
< 0.1%
-97.5 34
 
< 0.1%
-102.5 34
 
< 0.1%
-108 33
 
< 0.1%
-13.5 32
 
< 0.1%
-77.5 32
 
< 0.1%
Other values (23418) 99653
99.6%
ValueCountFrequency (%)
-9450.5 1
< 0.1%
-9418.5 1
< 0.1%
-9412 1
< 0.1%
-9338 1
< 0.1%
-9334 1
< 0.1%
ValueCountFrequency (%)
15306 1
< 0.1%
14704 1
< 0.1%
14441.5 1
< 0.1%
14146.5 1
< 0.1%
14144.5 1
< 0.1%

BL
Real number (ℝ)

Distinct33150
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean591.0900178
Minimum-14464
Maximum27180
Zeros8
Zeros (%)< 0.1%
Negative48098
Negative (%)48.1%
Memory size3.5 MiB
2023-07-01T06:59:15.129868image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-14464
5-th percentile-6694.5
Q1-1463
median112.5
Q32862.5
95-th percentile8516.325
Maximum27180
Range41644
Interquartile range (IQR)4325.5

Descriptive statistics

Standard deviation4531.602266
Coefficient of variation (CV)7.666518008
Kurtosis2.710109202
Mean591.0900178
Median Absolute Deviation (MAD)2103.5
Skewness0.5439470564
Sum59113730.5
Variance20535419.09
MonotonicityNot monotonic
2023-07-01T06:59:15.224117image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-104.5 41
 
< 0.1%
252 36
 
< 0.1%
-100 30
 
< 0.1%
255.5 29
 
< 0.1%
-631 26
 
< 0.1%
241 26
 
< 0.1%
-117.5 25
 
< 0.1%
282 23
 
< 0.1%
245.5 23
 
< 0.1%
-720 23
 
< 0.1%
Other values (33140) 99726
99.7%
ValueCountFrequency (%)
-14464 1
< 0.1%
-14328.5 1
< 0.1%
-14189.5 1
< 0.1%
-14087.5 1
< 0.1%
-14042.5 1
< 0.1%
ValueCountFrequency (%)
27180 1
< 0.1%
26578 1
< 0.1%
26315.5 1
< 0.1%
26020.5 1
< 0.1%
26018.5 1
< 0.1%

BM
Real number (ℝ)

Distinct7314
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-653.1920996
Minimum-10748
Maximum0
Zeros18
Zeros (%)< 0.1%
Negative99990
Negative (%)> 99.9%
Memory size3.5 MiB
2023-07-01T06:59:15.326032image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-10748
5-th percentile-2179.5
Q1-810
median-392.5
Q3-177.5
95-th percentile-51.5
Maximum0
Range10748
Interquartile range (IQR)632.5

Descriptive statistics

Standard deviation789.4408175
Coefficient of variation (CV)-1.208589047
Kurtosis17.41808562
Mean-653.1920996
Median Absolute Deviation (MAD)259
Skewness-3.265665269
Sum-65324435.5
Variance623216.8043
MonotonicityNot monotonic
2023-07-01T06:59:15.427697image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-115 106
 
0.1%
-128 103
 
0.1%
-153.5 102
 
0.1%
-56 100
 
0.1%
-113.5 99
 
0.1%
-77 98
 
0.1%
-111 97
 
0.1%
-141 97
 
0.1%
-93 97
 
0.1%
-83.5 97
 
0.1%
Other values (7304) 99012
99.0%
ValueCountFrequency (%)
-10748 1
< 0.1%
-10426 1
< 0.1%
-10367 1
< 0.1%
-10279.5 1
< 0.1%
-10136.5 1
< 0.1%
ValueCountFrequency (%)
0 18
< 0.1%
-0.5 32
< 0.1%
-1 8
 
< 0.1%
-1.5 8
 
< 0.1%
-2 11
 
< 0.1%

BN
Real number (ℝ)

Distinct6925
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean606.3030808
Minimum0
Maximum12476.5
Zeros34
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:15.530797image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile49.5
Q1163
median350
Q3764
95-th percentile1983
Maximum12476.5
Range12476.5
Interquartile range (IQR)601

Descriptive statistics

Standard deviation730.7694613
Coefficient of variation (CV)1.205287396
Kurtosis14.25625668
Mean606.3030808
Median Absolute Deviation (MAD)233.5
Skewness3.054782376
Sum60635158.5
Variance534024.0055
MonotonicityNot monotonic
2023-07-01T06:59:15.635023image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
148.5 119
 
0.1%
87.5 113
 
0.1%
135 113
 
0.1%
81.5 111
 
0.1%
168.5 110
 
0.1%
63 109
 
0.1%
93.5 108
 
0.1%
62.5 107
 
0.1%
77 107
 
0.1%
88 107
 
0.1%
Other values (6915) 98904
98.9%
ValueCountFrequency (%)
0 34
< 0.1%
0.5 40
< 0.1%
1 9
 
< 0.1%
1.5 9
 
< 0.1%
2 17
< 0.1%
ValueCountFrequency (%)
12476.5 1
< 0.1%
9805 1
< 0.1%
8673.5 1
< 0.1%
8646.5 1
< 0.1%
8182 1
< 0.1%

BO
Real number (ℝ)

Distinct16634
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92367700.74
Minimum391685
Maximum9698457558
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:15.741239image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum391685
5-th percentile6071762
Q120407139
median50129117
Q3116953877
95-th percentile296490962
Maximum9698457558
Range9698065873
Interquartile range (IQR)96546738

Descriptive statistics

Standard deviation153192632
Coefficient of variation (CV)1.658508664
Kurtosis810.1568248
Mean92367700.74
Median Absolute Deviation (MAD)36677278
Skewness17.99441463
Sum9.237509016 × 1012
Variance2.346798249 × 1016
MonotonicityNot monotonic
2023-07-01T06:59:15.844948image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3715136 16
 
< 0.1%
81146821 16
 
< 0.1%
26822406 15
 
< 0.1%
25314184 15
 
< 0.1%
38978403 15
 
< 0.1%
22651134 15
 
< 0.1%
136283655 14
 
< 0.1%
31765902 14
 
< 0.1%
93882728 14
 
< 0.1%
51675651 14
 
< 0.1%
Other values (16624) 99860
99.9%
ValueCountFrequency (%)
391685 4
< 0.1%
396785 4
< 0.1%
447726 2
 
< 0.1%
530221 6
< 0.1%
692017 5
< 0.1%
ValueCountFrequency (%)
9698457558 4
< 0.1%
5827970336 5
< 0.1%
4488447268 5
< 0.1%
4435669529 4
< 0.1%
4026716537 2
 
< 0.1%

BP
Real number (ℝ)

Distinct16637
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93010033.92
Minimum1790175.45
Maximum1518443800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:15.958277image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum1790175.45
5-th percentile10488979.85
Q131398724.75
median61049593.1
Q3131452869.2
95-th percentile253814465.9
Maximum1518443800
Range1516653625
Interquartile range (IQR)100054144.5

Descriptive statistics

Standard deviation98751533.03
Coefficient of variation (CV)1.061729889
Kurtosis46.14581751
Mean93010033.92
Median Absolute Deviation (MAD)37211970.65
Skewness4.530141158
Sum9.301747472 × 1012
Variance9.751865277 × 1015
MonotonicityNot monotonic
2023-07-01T06:59:16.062925image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5173316.4 16
 
< 0.1%
44685001.05 15
 
< 0.1%
19889629.05 15
 
< 0.1%
44691134 15
 
< 0.1%
51936786.85 15
 
< 0.1%
138715650.7 14
 
< 0.1%
22075807.1 14
 
< 0.1%
66300004.4 14
 
< 0.1%
187359337.2 14
 
< 0.1%
20287736.35 14
 
< 0.1%
Other values (16627) 99862
99.9%
ValueCountFrequency (%)
1790175.45 7
< 0.1%
1795680.3 5
< 0.1%
1799392.95 6
< 0.1%
1804284.3 7
< 0.1%
1821766.2 7
< 0.1%
ValueCountFrequency (%)
1518443800 4
< 0.1%
1516058269 6
< 0.1%
1512358697 6
< 0.1%
1511726924 3
 
< 0.1%
1504843648 8
< 0.1%

BQ
Real number (ℝ)

Distinct30568
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.545459863
Minimum-3530.3
Maximum7603.55
Zeros17
Zeros (%)< 0.1%
Negative50197
Negative (%)50.2%
Memory size3.5 MiB
2023-07-01T06:59:16.180685image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-3530.3
5-th percentile-665.1475
Q1-143.4
median-0.7
Q3146.55
95-th percentile686.865
Maximum7603.55
Range11133.85
Interquartile range (IQR)289.95

Descriptive statistics

Standard deviation429.9855947
Coefficient of variation (CV)77.53831158
Kurtosis9.927444238
Mean5.545459863
Median Absolute Deviation (MAD)144.9
Skewness0.5488689326
Sum554590.35
Variance184887.6117
MonotonicityNot monotonic
2023-07-01T06:59:16.289274image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.7 31
 
< 0.1%
-6.5 30
 
< 0.1%
2.3 28
 
< 0.1%
9.15 28
 
< 0.1%
-1.35 28
 
< 0.1%
-5.15 28
 
< 0.1%
-3.65 28
 
< 0.1%
-11.8 27
 
< 0.1%
23.3 27
 
< 0.1%
-0.15 27
 
< 0.1%
Other values (30558) 99726
99.7%
ValueCountFrequency (%)
-3530.3 1
< 0.1%
-3474.3 1
< 0.1%
-3134.3 1
< 0.1%
-3062.8 1
< 0.1%
-2955.65 1
< 0.1%
ValueCountFrequency (%)
7603.55 1
< 0.1%
7042.35 1
< 0.1%
5711.45 1
< 0.1%
5248.95 1
< 0.1%
4932.05 1
< 0.1%

BR
Real number (ℝ)

Distinct96771
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.1024192
Minimum-3675.67698
Maximum8850.86928
Zeros0
Zeros (%)0.0%
Negative49227
Negative (%)49.2%
Memory size3.5 MiB
2023-07-01T06:59:16.392184image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-3675.67698
5-th percentile-854.0983255
Q1-202.8929775
median3.68015
Q3212.6881475
95-th percentile913.9327415
Maximum8850.86928
Range12526.54626
Interquartile range (IQR)415.581125

Descriptive statistics

Standard deviation555.5395097
Coefficient of variation (CV)36.78480263
Kurtosis7.833554087
Mean15.1024192
Median Absolute Deviation (MAD)207.683365
Skewness0.6961279622
Sum1510362.74
Variance308624.1468
MonotonicityNot monotonic
2023-07-01T06:59:16.504764image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.92679 7
 
< 0.1%
20.67242 7
 
< 0.1%
-4.33712 6
 
< 0.1%
-11.97156 6
 
< 0.1%
-28.09063 6
 
< 0.1%
-2.02988 6
 
< 0.1%
-10.60061 6
 
< 0.1%
-23.40544 5
 
< 0.1%
-5.60453 5
 
< 0.1%
-37.86245 5
 
< 0.1%
Other values (96761) 99949
99.9%
ValueCountFrequency (%)
-3675.67698 1
< 0.1%
-3619.67698 1
< 0.1%
-3279.67698 1
< 0.1%
-3208.17698 1
< 0.1%
-3181.66199 1
< 0.1%
ValueCountFrequency (%)
8850.86928 1
< 0.1%
7878.42517 1
< 0.1%
6781.0099 1
< 0.1%
6318.5099 1
< 0.1%
6179.36928 1
< 0.1%

BS
Real number (ℝ)

Distinct81901
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.54448844
Minimum-4487.1
Maximum11625.44
Zeros1
Zeros (%)< 0.1%
Negative48453
Negative (%)48.4%
Memory size3.5 MiB
2023-07-01T06:59:16.615283image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-4487.1
5-th percentile-1644.0665
Q1-426.785
median16.075
Q3475.22
95-th percentile1844.817
Maximum11625.44
Range16112.54
Interquartile range (IQR)902.005

Descriptive statistics

Standard deviation1077.16214
Coefficient of variation (CV)24.7370489
Kurtosis4.182364019
Mean43.54448844
Median Absolute Deviation (MAD)451.485
Skewness0.5302937918
Sum4354797.2
Variance1160278.276
MonotonicityNot monotonic
2023-07-01T06:59:16.720078image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-19.95 9
 
< 0.1%
-45.06 8
 
< 0.1%
115.61 8
 
< 0.1%
47.12 8
 
< 0.1%
118.2 8
 
< 0.1%
-8.52 7
 
< 0.1%
-31.43 7
 
< 0.1%
-18.1 7
 
< 0.1%
-12.47 7
 
< 0.1%
17.51 7
 
< 0.1%
Other values (81891) 99932
99.9%
ValueCountFrequency (%)
-4487.1 1
< 0.1%
-4474.1 1
< 0.1%
-4456.1 1
< 0.1%
-4438.52 1
< 0.1%
-4417.04 1
< 0.1%
ValueCountFrequency (%)
11625.44 1
< 0.1%
9256.83 1
< 0.1%
9049.35 1
< 0.1%
8953.94 1
< 0.1%
8636.97 1
< 0.1%

BT
Real number (ℝ)

Distinct94804
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean206.9857751
Minimum-8398.2025
Maximum17580.8475
Zeros0
Zeros (%)0.0%
Negative46017
Negative (%)46.0%
Memory size3.5 MiB
2023-07-01T06:59:17.068643image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-8398.2025
5-th percentile-3546.69325
Q1-859.4875
median116.525
Q31095.8175
95-th percentile4305.778875
Maximum17580.8475
Range25979.05
Interquartile range (IQR)1955.305

Descriptive statistics

Standard deviation2218.783834
Coefficient of variation (CV)10.71949912
Kurtosis2.076798401
Mean206.9857751
Median Absolute Deviation (MAD)977.795
Skewness0.4984796835
Sum20700233.39
Variance4923001.703
MonotonicityNot monotonic
2023-07-01T06:59:17.182906image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-175.81 7
 
< 0.1%
69.0925 7
 
< 0.1%
-69.0775 6
 
< 0.1%
29.3475 6
 
< 0.1%
-335.2275 6
 
< 0.1%
-61.43 6
 
< 0.1%
-185.11 6
 
< 0.1%
-56.7625 6
 
< 0.1%
-227.3575 6
 
< 0.1%
-37.81 6
 
< 0.1%
Other values (94794) 99946
99.9%
ValueCountFrequency (%)
-8398.2025 1
< 0.1%
-8385.2025 1
< 0.1%
-8383.3225 1
< 0.1%
-8323.2025 1
< 0.1%
-8320.2025 1
< 0.1%
ValueCountFrequency (%)
17580.8475 1
< 0.1%
14909.3475 1
< 0.1%
13872.615 1
< 0.1%
13659.2225 1
< 0.1%
13130.3475 1
< 0.1%

BU
Real number (ℝ)

Distinct15263
Distinct (%)15.3%
Missing295
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean50.98115346
Minimum-4.03 × 10-14
Maximum100
Zeros0
Zeros (%)0.0%
Negative807
Negative (%)0.8%
Memory size3.5 MiB
2023-07-01T06:59:17.298284image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-4.03 × 10-14
5-th percentile3.230695931
Q121.2849325
median51.14920654
Q381.05771956
95-th percentile97.95514803
Maximum100
Range100
Interquartile range (IQR)59.77278706

Descriptive statistics

Standard deviation31.92400891
Coefficient of variation (CV)0.6261923622
Kurtosis-1.373367761
Mean50.98115346
Median Absolute Deviation (MAD)29.88228639
Skewness-0.01250894165
Sum5083483.755
Variance1019.142345
MonotonicityNot monotonic
2023-07-01T06:59:17.406687image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 2558
 
2.6%
2.37 × 10-15207
 
0.2%
66.66666667 129
 
0.1%
33.33333333 102
 
0.1%
-4.74 × 10-1577
 
0.1%
7.11 × 10-1572
 
0.1%
1.18 × 10-1571
 
0.1%
-1.18 × 10-1566
 
0.1%
-7.11 × 10-1564
 
0.1%
-2.37 × 10-1561
 
0.1%
Other values (15253) 96306
96.3%
(Missing) 295
 
0.3%
ValueCountFrequency (%)
-4.03 × 10-147
 
< 0.1%
-3.26 × 10-149
 
< 0.1%
-3.02 × 10-1414
< 0.1%
-2.95 × 10-147
 
< 0.1%
-2.37 × 10-1430
< 0.1%
ValueCountFrequency (%)
100 2558
2.6%
99.98342584 16
 
< 0.1%
99.97756619 6
 
< 0.1%
99.97061555 5
 
< 0.1%
99.96496061 12
 
< 0.1%

BV
Real number (ℝ)

Distinct16512
Distinct (%)16.5%
Missing23
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean50.83356392
Minimum-3.43 × 10-14
Maximum100
Zeros0
Zeros (%)0.0%
Negative170
Negative (%)0.2%
Memory size3.5 MiB
2023-07-01T06:59:17.511236image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-3.43 × 10-14
5-th percentile5.107612712
Q122.50481316
median50.75116524
Q379.75762394
95-th percentile96.04662568
Maximum100
Range100
Interquartile range (IQR)57.25281078

Descriptive statistics

Standard deviation30.65068617
Coefficient of variation (CV)0.6029615829
Kurtosis-1.361289742
Mean50.83356392
Median Absolute Deviation (MAD)28.57060478
Skewness-0.001419391104
Sum5082593.889
Variance939.4645626
MonotonicityNot monotonic
2023-07-01T06:59:17.615278image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 459
 
0.5%
8.78 × 10-1532
 
< 0.1%
33.33333333 30
 
< 0.1%
66.66666667 24
 
< 0.1%
4.84 × 10-1520
 
< 0.1%
-5.53 × 10-1518
 
< 0.1%
-1.51 × 10-1418
 
< 0.1%
-1.6 × 10-1417
 
< 0.1%
6.81 × 10-1516
 
< 0.1%
41.27398439 16
 
< 0.1%
Other values (16502) 99335
99.3%
(Missing) 23
 
< 0.1%
ValueCountFrequency (%)
-3.43 × 10-147
< 0.1%
-3.39 × 10-146
< 0.1%
-3.36 × 10-143
 
< 0.1%
-2.92 × 10-1412
< 0.1%
-2.76 × 10-145
< 0.1%
ValueCountFrequency (%)
100 459
0.5%
99.99020518 6
 
< 0.1%
99.97730653 4
 
< 0.1%
99.97237227 5
 
< 0.1%
99.94474455 6
 
< 0.1%

BW
Real number (ℝ)

Distinct16525
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-27.03446502
Minimum-6992.960294
Maximum3730.173529
Zeros0
Zeros (%)0.0%
Negative51255
Negative (%)51.3%
Memory size3.5 MiB
2023-07-01T06:59:17.723408image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-6992.960294
5-th percentile-1344.736765
Q1-325.2573529
median-9.063235294
Q3291.5926471
95-th percentile1219.261765
Maximum3730.173529
Range10723.13382
Interquartile range (IQR)616.85

Descriptive statistics

Standard deviation797.9285635
Coefficient of variation (CV)-29.51523409
Kurtosis5.533297508
Mean-27.03446502
Median Absolute Deviation (MAD)307.9411765
Skewness-0.6451646897
Sum-2703662.778
Variance636689.9924
MonotonicityNot monotonic
2023-07-01T06:59:17.824122image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-66.36029412 19
 
< 0.1%
72.76764706 19
 
< 0.1%
18.86029412 19
 
< 0.1%
-11.42794118 18
 
< 0.1%
50.51617647 17
 
< 0.1%
62.77941176 17
 
< 0.1%
-204.5764706 16
 
< 0.1%
-260.9985294 16
 
< 0.1%
207.4044118 16
 
< 0.1%
-198.6941176 16
 
< 0.1%
Other values (16515) 99835
99.8%
ValueCountFrequency (%)
-6992.960294 5
< 0.1%
-6638.732353 8
< 0.1%
-6451.402941 4
 
< 0.1%
-6268.479412 4
 
< 0.1%
-5996.177941 12
< 0.1%
ValueCountFrequency (%)
3730.173529 3
 
< 0.1%
3624.022059 5
< 0.1%
3562.282353 5
< 0.1%
3525.925 9
< 0.1%
3370.705882 7
< 0.1%

BX
Real number (ℝ)

Distinct16609
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.86428187
Minimum8.201576082
Maximum92.14708667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:17.924318image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum8.201576082
5-th percentile29.20019597
Q141.82074525
median49.77829592
Q357.76505633
95-th percentile70.96744907
Maximum92.14708667
Range83.94551059
Interquartile range (IQR)15.94431108

Descriptive statistics

Standard deviation12.49540812
Coefficient of variation (CV)0.2505883501
Kurtosis0.08961382218
Mean49.86428187
Median Absolute Deviation (MAD)7.97556192
Skewness0.08240523368
Sum4986827.101
Variance156.1352242
MonotonicityNot monotonic
2023-07-01T06:59:18.016943image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44.00202969 23
 
< 0.1%
49.08594701 16
 
< 0.1%
63.35046455 16
 
< 0.1%
51.48085404 16
 
< 0.1%
38.34073349 15
 
< 0.1%
47.27890598 15
 
< 0.1%
55.25021465 15
 
< 0.1%
47.8305941 15
 
< 0.1%
56.54647829 15
 
< 0.1%
53.03607726 14
 
< 0.1%
Other values (16599) 99848
99.8%
ValueCountFrequency (%)
8.201576082 1
 
< 0.1%
8.457990648 8
< 0.1%
8.474827273 7
< 0.1%
9.124077048 6
< 0.1%
10.04943451 4
< 0.1%
ValueCountFrequency (%)
92.14708667 9
< 0.1%
91.97493367 6
< 0.1%
91.79920962 8
< 0.1%
91.60286136 4
< 0.1%
91.22081205 8
< 0.1%

BY
Real number (ℝ)

Distinct13883
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.28418355
Minimum1.73 × 10-16
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:18.124566image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum1.73 × 10-16
5-th percentile1.0935 × 10-5
Q10.5960844033
median50.00000001
Q399.45241905
95-th percentile99.99999349
Maximum100
Range100
Interquartile range (IQR)98.85633465

Descriptive statistics

Standard deviation44.2232244
Coefficient of variation (CV)0.8794658932
Kurtosis-1.828409066
Mean50.28418355
Median Absolute Deviation (MAD)49.42595277
Skewness-0.01096688568
Sum5028820.628
Variance1955.693576
MonotonicityNot monotonic
2023-07-01T06:59:18.236600image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 1388
 
1.4%
50 377
 
0.4%
99.99999999 323
 
0.3%
99.97558594 244
 
0.2%
99.609375 242
 
0.2%
99.98779297 238
 
0.2%
99.8046875 236
 
0.2%
9.54 × 10-5229
 
0.2%
99.99694824 226
 
0.2%
4.77 × 10-5226
 
0.2%
Other values (13873) 96279
96.3%
ValueCountFrequency (%)
1.73 × 10-164
< 0.1%
3.47 × 10-167
< 0.1%
6.94 × 10-163
 
< 0.1%
1.39 × 10-154
< 0.1%
2.78 × 10-158
< 0.1%
ValueCountFrequency (%)
100 1388
1.4%
99.99999999 323
 
0.3%
99.99999998 194
 
0.2%
99.99999997 75
 
0.1%
99.99999996 82
 
0.1%

BZ
Real number (ℝ)

Distinct20821
Distinct (%)21.0%
Missing673
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean1992.401324
Minimum-5263
Maximum18793.5
Zeros30
Zeros (%)< 0.1%
Negative13044
Negative (%)13.0%
Memory size3.5 MiB
2023-07-01T06:59:18.345738image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-5263
5-th percentile-341.5
Q1196
median998
Q32681.5
95-th percentile8614
Maximum18793.5
Range24056.5
Interquartile range (IQR)2485.5

Descriptive statistics

Standard deviation2760.227053
Coefficient of variation (CV)1.385377042
Kurtosis2.334615544
Mean1992.401324
Median Absolute Deviation (MAD)929.5
Skewness1.684737031
Sum197915185.5
Variance7618853.384
MonotonicityNot monotonic
2023-07-01T06:59:18.447968image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72.5 61
 
0.1%
62.5 53
 
0.1%
50 51
 
0.1%
16 50
 
< 0.1%
122 48
 
< 0.1%
110 48
 
< 0.1%
65.5 47
 
< 0.1%
67 47
 
< 0.1%
41 47
 
< 0.1%
64 46
 
< 0.1%
Other values (20811) 98837
98.8%
(Missing) 673
 
0.7%
ValueCountFrequency (%)
-5263 1
< 0.1%
-5127.5 1
< 0.1%
-4988.5 1
< 0.1%
-4841.5 1
< 0.1%
-4715.5 1
< 0.1%
ValueCountFrequency (%)
18793.5 1
< 0.1%
16122 1
< 0.1%
14990.5 1
< 0.1%
14963.5 1
< 0.1%
14343 1
< 0.1%

CA
Real number (ℝ)

Distinct27244
Distinct (%)27.9%
Missing2406
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean5657.751424
Minimum-2410.5
Maximum25672.5
Zeros0
Zeros (%)0.0%
Negative264
Negative (%)0.3%
Memory size3.5 MiB
2023-07-01T06:59:18.549087image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-2410.5
5-th percentile799.5
Q12119
median4864
Q38587.5
95-th percentile12301
Maximum25672.5
Range28083
Interquartile range (IQR)6468.5

Descriptive statistics

Standard deviation4012.658162
Coefficient of variation (CV)0.7092319653
Kurtosis-0.1806167255
Mean5657.751424
Median Absolute Deviation (MAD)3170
Skewness0.6616013444
Sum552207854.5
Variance16101425.52
MonotonicityNot monotonic
2023-07-01T06:59:18.640844image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
978 28
 
< 0.1%
1177 25
 
< 0.1%
876.5 24
 
< 0.1%
881 24
 
< 0.1%
967.5 24
 
< 0.1%
974.5 24
 
< 0.1%
991 23
 
< 0.1%
973 23
 
< 0.1%
1209 23
 
< 0.1%
992.5 22
 
< 0.1%
Other values (27234) 97362
97.4%
(Missing) 2406
 
2.4%
ValueCountFrequency (%)
-2410.5 1
< 0.1%
-2300.5 1
< 0.1%
-2185 1
< 0.1%
-2125.5 1
< 0.1%
-2124 1
< 0.1%
ValueCountFrequency (%)
25672.5 1
< 0.1%
23001 1
< 0.1%
21869.5 1
< 0.1%
21842.5 1
< 0.1%
21222 1
< 0.1%

CB
Real number (ℝ)

Distinct32090
Distinct (%)34.7%
Missing7590
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean9682.503289
Minimum473.5
Maximum27908.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:18.746098image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum473.5
5-th percentile2850.925
Q16312.125
median9660
Q312067
95-th percentile18047.075
Maximum27908.5
Range27435
Interquartile range (IQR)5754.875

Descriptive statistics

Standard deviation4490.014248
Coefficient of variation (CV)0.463724526
Kurtosis-0.2105137316
Mean9682.503289
Median Absolute Deviation (MAD)2815.75
Skewness0.3573512825
Sum894837589
Variance20160227.95
MonotonicityNot monotonic
2023-07-01T06:59:18.840661image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4371 22
 
< 0.1%
4457.5 21
 
< 0.1%
4366.5 19
 
< 0.1%
4481 19
 
< 0.1%
4453 19
 
< 0.1%
4464.5 18
 
< 0.1%
4463 18
 
< 0.1%
8923.5 17
 
< 0.1%
10376.5 17
 
< 0.1%
10556.5 16
 
< 0.1%
Other values (32080) 92232
92.2%
(Missing) 7590
 
7.6%
ValueCountFrequency (%)
473.5 1
< 0.1%
482.5 2
< 0.1%
493.5 1
< 0.1%
494 1
< 0.1%
496.5 1
< 0.1%
ValueCountFrequency (%)
27908.5 1
< 0.1%
25237 1
< 0.1%
24105.5 1
< 0.1%
24078.5 1
< 0.1%
23458 1
< 0.1%

CC
Real number (ℝ)

Distinct12845
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-320.2018788
Minimum-6985.5
Maximum7754.5
Zeros60
Zeros (%)0.1%
Negative67411
Negative (%)67.4%
Memory size3.5 MiB
2023-07-01T06:59:18.943614image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-6985.5
5-th percentile-2146.5
Q1-619.5
median-169
Q383.5
95-th percentile1103.5
Maximum7754.5
Range14740
Interquartile range (IQR)703

Descriptive statistics

Standard deviation1115.977824
Coefficient of variation (CV)-3.485231967
Kurtosis6.657102669
Mean-320.2018788
Median Absolute Deviation (MAD)336.5
Skewness-0.9197065696
Sum-32022749.5
Variance1245406.504
MonotonicityNot monotonic
2023-07-01T06:59:19.046058image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.5 89
 
0.1%
-89 83
 
0.1%
-34 81
 
0.1%
5 78
 
0.1%
-69.5 74
 
0.1%
-43 73
 
0.1%
-33.5 72
 
0.1%
-3.5 72
 
0.1%
-2.5 72
 
0.1%
-13.5 71
 
0.1%
Other values (12835) 99243
99.2%
ValueCountFrequency (%)
-6985.5 1
< 0.1%
-6905.5 1
< 0.1%
-6875.5 1
< 0.1%
-6790 1
< 0.1%
-6760 1
< 0.1%
ValueCountFrequency (%)
7754.5 1
< 0.1%
7181 1
< 0.1%
6959.5 1
< 0.1%
6889 1
< 0.1%
6816.5 1
< 0.1%

CD
Real number (ℝ)

Distinct14053
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-734.3283487
Minimum-8758.5
Maximum6876
Zeros28
Zeros (%)< 0.1%
Negative81768
Negative (%)81.8%
Memory size3.5 MiB
2023-07-01T06:59:19.158242image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-8758.5
5-th percentile-3460.65
Q1-1086.5
median-456
Q3-99.5
95-th percentile725
Maximum6876
Range15634.5
Interquartile range (IQR)987

Descriptive statistics

Standard deviation1316.043181
Coefficient of variation (CV)-1.792172648
Kurtosis5.624504568
Mean-734.3283487
Median Absolute Deviation (MAD)440.5
Skewness-1.378491055
Sum-73438709.5
Variance1731969.655
MonotonicityNot monotonic
2023-07-01T06:59:19.254807image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-177.5 63
 
0.1%
-199.5 62
 
0.1%
-320 57
 
0.1%
-105.5 56
 
0.1%
-174.5 55
 
0.1%
-45.5 55
 
0.1%
-183 55
 
0.1%
-108 54
 
0.1%
-187.5 54
 
0.1%
-313 54
 
0.1%
Other values (14043) 99443
99.4%
ValueCountFrequency (%)
-8758.5 1
< 0.1%
-8643 1
< 0.1%
-8595.5 1
< 0.1%
-8560 1
< 0.1%
-8544 1
< 0.1%
ValueCountFrequency (%)
6876 1
< 0.1%
6654.5 1
< 0.1%
6584 1
< 0.1%
6511.5 1
< 0.1%
6504.5 1
< 0.1%

CE
Real number (ℝ)

Distinct15339
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1104.792812
Minimum-10751
Maximum5226
Zeros13
Zeros (%)< 0.1%
Negative88509
Negative (%)88.5%
Memory size3.5 MiB
2023-07-01T06:59:19.360733image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-10751
5-th percentile-4412.825
Q1-1472.5
median-713
Q3-274
95-th percentile487
Maximum5226
Range15977
Interquartile range (IQR)1198.5

Descriptive statistics

Standard deviation1549.629801
Coefficient of variation (CV)-1.402642907
Kurtosis5.322733752
Mean-1104.792812
Median Absolute Deviation (MAD)538.5
Skewness-1.76249184
Sum-110488119.5
Variance2401352.519
MonotonicityNot monotonic
2023-07-01T06:59:19.682090image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-256 50
 
< 0.1%
-265 49
 
< 0.1%
-436 47
 
< 0.1%
-211.5 46
 
< 0.1%
-201.5 45
 
< 0.1%
-359 45
 
< 0.1%
-610.5 45
 
< 0.1%
-113 44
 
< 0.1%
-337 44
 
< 0.1%
-449 44
 
< 0.1%
Other values (15329) 99549
99.5%
ValueCountFrequency (%)
-10751 1
< 0.1%
-10731 1
< 0.1%
-10601 1
< 0.1%
-10599 1
< 0.1%
-10551.5 1
< 0.1%
ValueCountFrequency (%)
5226 1
< 0.1%
5089.5 1
< 0.1%
5004.5 1
< 0.1%
4934 1
< 0.1%
4861.5 1
< 0.1%

CF
Real number (ℝ)

Distinct34686
Distinct (%)35.4%
Missing1988
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean5061.985656
Minimum-5421
Maximum27196
Zeros14
Zeros (%)< 0.1%
Negative16058
Negative (%)16.1%
Memory size3.5 MiB
2023-07-01T06:59:19.786541image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-5421
5-th percentile-1235.025
Q1418
median2948
Q37794.5
95-th percentile20790
Maximum27196
Range32617
Interquartile range (IQR)7376.5

Descriptive statistics

Standard deviation6382.964753
Coefficient of variation (CV)1.260960656
Kurtosis1.010272335
Mean5061.985656
Median Absolute Deviation (MAD)2796.5
Skewness1.336855589
Sum496175834
Variance40742239.03
MonotonicityNot monotonic
2023-07-01T06:59:19.879571image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268.5 27
 
< 0.1%
-104.5 26
 
< 0.1%
-13.5 24
 
< 0.1%
291.5 23
 
< 0.1%
-18 23
 
< 0.1%
295 23
 
< 0.1%
283 22
 
< 0.1%
258 22
 
< 0.1%
279 22
 
< 0.1%
275 22
 
< 0.1%
Other values (34676) 97786
97.8%
(Missing) 1988
 
2.0%
ValueCountFrequency (%)
-5421 1
< 0.1%
-5409.5 1
< 0.1%
-5365.5 1
< 0.1%
-5364.5 1
< 0.1%
-5352 1
< 0.1%
ValueCountFrequency (%)
27196 1
< 0.1%
27180.5 1
< 0.1%
27080.5 1
< 0.1%
26901.5 1
< 0.1%
26788.5 1
< 0.1%

CG
Real number (ℝ)

Distinct40396
Distinct (%)45.8%
Missing11715
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean12640.22299
Minimum88
Maximum39565
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:19.985749image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum88
5-th percentile2518.8
Q15168.5
median9247.5
Q320305.5
95-th percentile29632.1
Maximum39565
Range39477
Interquartile range (IQR)15137

Descriptive statistics

Standard deviation9317.72427
Coefficient of variation (CV)0.7371487257
Kurtosis-0.3024831249
Mean12640.22299
Median Absolute Deviation (MAD)5068
Skewness0.8639918503
Sum1116043208
Variance86819985.58
MonotonicityNot monotonic
2023-07-01T06:59:20.086644image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3980 25
 
< 0.1%
4997.5 25
 
< 0.1%
5027.5 21
 
< 0.1%
5011.5 20
 
< 0.1%
3975.5 19
 
< 0.1%
4987 19
 
< 0.1%
5010.5 18
 
< 0.1%
4986.5 17
 
< 0.1%
3974.5 17
 
< 0.1%
5004.5 17
 
< 0.1%
Other values (40386) 88095
88.1%
(Missing) 11715
 
11.7%
ValueCountFrequency (%)
88 1
< 0.1%
130.5 1
< 0.1%
137 1
< 0.1%
137.5 1
< 0.1%
146.5 1
< 0.1%
ValueCountFrequency (%)
39565 1
< 0.1%
39363 1
< 0.1%
39287.5 1
< 0.1%
38922.5 1
< 0.1%
38914.5 1
< 0.1%

CH
Real number (ℝ)

Distinct30579
Distinct (%)47.6%
Missing35778
Missing (%)35.8%
Infinite0
Infinite (%)0.0%
Mean17650.14771
Minimum3198
Maximum33136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:20.194643image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum3198
5-th percentile4837
Q18686.5
median21477
Q325320
95-th percentile28622
Maximum33136
Range29938
Interquartile range (IQR)16633.5

Descriptive statistics

Standard deviation8646.250624
Coefficient of variation (CV)0.489868457
Kurtosis-1.561314618
Mean17650.14771
Median Absolute Deviation (MAD)6231.25
Skewness-0.2286376713
Sum1133668988
Variance74757649.86
MonotonicityNot monotonic
2023-07-01T06:59:20.288060image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4904 23
 
< 0.1%
7467.5 21
 
< 0.1%
5118 21
 
< 0.1%
7497.5 17
 
< 0.1%
4899.5 16
 
< 0.1%
4898.5 16
 
< 0.1%
5119 16
 
< 0.1%
5113.5 15
 
< 0.1%
5140 15
 
< 0.1%
7484 15
 
< 0.1%
Other values (30569) 64055
64.0%
(Missing) 35778
35.8%
ValueCountFrequency (%)
3198 1
< 0.1%
3253.5 1
< 0.1%
3255.5 1
< 0.1%
3262 1
< 0.1%
3262.5 1
< 0.1%
ValueCountFrequency (%)
33136 1
< 0.1%
33124.5 1
< 0.1%
33113.5 1
< 0.1%
33112.5 1
< 0.1%
33052 1
< 0.1%

CI
Real number (ℝ)

Distinct25808
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1142.639484
Minimum-13598
Maximum14124.5
Zeros9
Zeros (%)< 0.1%
Negative67784
Negative (%)67.8%
Memory size3.5 MiB
2023-07-01T06:59:20.388724image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-13598
5-th percentile-8099.95
Q1-2179.5
median-661.5
Q3256
95-th percentile3338.825
Maximum14124.5
Range27722.5
Interquartile range (IQR)2435.5

Descriptive statistics

Standard deviation3188.720242
Coefficient of variation (CV)-2.790661698
Kurtosis2.481122265
Mean-1142.639484
Median Absolute Deviation (MAD)1247
Skewness-0.8310828147
Sum-114273089.5
Variance10167936.78
MonotonicityNot monotonic
2023-07-01T06:59:20.480858image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-108 38
 
< 0.1%
-323 33
 
< 0.1%
-328.5 32
 
< 0.1%
-327.5 31
 
< 0.1%
-244.5 29
 
< 0.1%
-745 28
 
< 0.1%
-97.5 28
 
< 0.1%
-624.5 28
 
< 0.1%
-726 28
 
< 0.1%
-683.5 28
 
< 0.1%
Other values (25798) 99705
99.7%
ValueCountFrequency (%)
-13598 1
< 0.1%
-13462.5 1
< 0.1%
-13323.5 1
< 0.1%
-13221.5 1
< 0.1%
-13176.5 1
< 0.1%
ValueCountFrequency (%)
14124.5 1
< 0.1%
13522.5 1
< 0.1%
13260 1
< 0.1%
12965 1
< 0.1%
12963 1
< 0.1%

CJ
Real number (ℝ)

Distinct30418
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3674.899413
Minimum-17922
Maximum5777
Zeros11
Zeros (%)< 0.1%
Negative85739
Negative (%)85.7%
Memory size3.5 MiB
2023-07-01T06:59:20.583064image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-17922
5-th percentile-11987.325
Q1-5896
median-2619
Q3-675.5
95-th percentile1818.5
Maximum5777
Range23699
Interquartile range (IQR)5220.5

Descriptive statistics

Standard deviation4089.460577
Coefficient of variation (CV)-1.112808847
Kurtosis-0.006124418861
Mean-3674.899413
Median Absolute Deviation (MAD)2300
Skewness-0.7541862458
Sum-367519340.5
Variance16723687.81
MonotonicityNot monotonic
2023-07-01T06:59:20.683017image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-560.5 29
 
< 0.1%
-562 29
 
< 0.1%
-567 28
 
< 0.1%
-530.5 27
 
< 0.1%
-654 26
 
< 0.1%
-557 25
 
< 0.1%
-554 25
 
< 0.1%
-567.5 25
 
< 0.1%
-558 24
 
< 0.1%
-553.5 24
 
< 0.1%
Other values (30408) 99746
99.7%
ValueCountFrequency (%)
-17922 1
< 0.1%
-17910.5 1
< 0.1%
-17866.5 1
< 0.1%
-17865.5 1
< 0.1%
-17853 1
< 0.1%
ValueCountFrequency (%)
5777 1
< 0.1%
5575 1
< 0.1%
5499.5 1
< 0.1%
5410.5 1
< 0.1%
5394.5 1
< 0.1%

CK
Real number (ℝ)

Distinct36851
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6719.31534
Minimum-27200
Maximum4615.5
Zeros1
Zeros (%)< 0.1%
Negative94913
Negative (%)94.9%
Memory size3.5 MiB
2023-07-01T06:59:20.782786image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-27200
5-th percentile-17851.825
Q1-11263.125
median-5124.5
Q3-2115
95-th percentile21.825
Maximum4615.5
Range31815.5
Interquartile range (IQR)9148.125

Descriptive statistics

Standard deviation5884.874363
Coefficient of variation (CV)-0.8758145832
Kurtosis-0.1638947598
Mean-6719.31534
Median Absolute Deviation (MAD)3674.5
Skewness-0.7793264032
Sum-671985288.5
Variance34631746.27
MonotonicityNot monotonic
2023-07-01T06:59:20.879854image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-5174.5 26
 
< 0.1%
-326 19
 
< 0.1%
-5161.5 19
 
< 0.1%
-5268 19
 
< 0.1%
-5176 19
 
< 0.1%
-5186 19
 
< 0.1%
-5181.5 19
 
< 0.1%
-5158 18
 
< 0.1%
-3443 18
 
< 0.1%
-335 18
 
< 0.1%
Other values (36841) 99814
99.8%
ValueCountFrequency (%)
-27200 1
< 0.1%
-27082.5 1
< 0.1%
-26975.5 1
< 0.1%
-26958 1
< 0.1%
-26918 1
< 0.1%
ValueCountFrequency (%)
4615.5 1
< 0.1%
4599.5 1
< 0.1%
4502.5 1
< 0.1%
4480 1
< 0.1%
4474 1
< 0.1%

CL
Real number (ℝ)

Distinct45694
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9414.509444
Minimum-19819
Maximum29779.5
Zeros3
Zeros (%)< 0.1%
Negative16726
Negative (%)16.7%
Memory size3.5 MiB
2023-07-01T06:59:20.982989image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-19819
5-th percentile-3295.5
Q11921
median4934.5
Q319159
95-th percentile25384
Maximum29779.5
Range49598.5
Interquartile range (IQR)17238

Descriptive statistics

Standard deviation10327.78251
Coefficient of variation (CV)1.097006973
Kurtosis-0.8724246697
Mean9414.509444
Median Absolute Deviation (MAD)6560.25
Skewness0.07467275402
Sum941526260.5
Variance106663091.6
MonotonicityNot monotonic
2023-07-01T06:59:21.087589image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3560 29
 
< 0.1%
3653.5 29
 
< 0.1%
3658.5 28
 
< 0.1%
3555.5 27
 
< 0.1%
3670 25
 
< 0.1%
3683.5 24
 
< 0.1%
3666.5 23
 
< 0.1%
4121 23
 
< 0.1%
3652 23
 
< 0.1%
3665 22
 
< 0.1%
Other values (45684) 99755
99.7%
ValueCountFrequency (%)
-19819 1
< 0.1%
-19807.5 1
< 0.1%
-19763.5 1
< 0.1%
-19762.5 1
< 0.1%
-19750 1
< 0.1%
ValueCountFrequency (%)
29779.5 1
< 0.1%
29768 1
< 0.1%
29700 1
< 0.1%
29590 1
< 0.1%
29571 1
< 0.1%

CM
Real number (ℝ)

Distinct28492
Distinct (%)51.7%
Missing44941
Missing (%)44.9%
Infinite0
Infinite (%)0.0%
Mean22804.88003
Minimum1846
Maximum43782
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:21.190567image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum1846
5-th percentile6267.5
Q116846.75
median23411
Q327408
95-th percentile40772.35
Maximum43782
Range41936
Interquartile range (IQR)10561.25

Descriptive statistics

Standard deviation10250.57107
Coefficient of variation (CV)0.4494902434
Kurtosis-0.5030226981
Mean22804.88003
Median Absolute Deviation (MAD)5139
Skewness-0.1119341849
Sum1255796328
Variance105074207.3
MonotonicityNot monotonic
2023-07-01T06:59:21.290039image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6470.5 24
 
< 0.1%
6460 20
 
< 0.1%
6500.5 20
 
< 0.1%
6483.5 19
 
< 0.1%
26330 18
 
< 0.1%
6465.5 18
 
< 0.1%
28586 18
 
< 0.1%
6487 18
 
< 0.1%
6482 17
 
< 0.1%
6466 17
 
< 0.1%
Other values (28482) 54878
54.9%
(Missing) 44941
44.9%
ValueCountFrequency (%)
1846 1
< 0.1%
1850.5 1
< 0.1%
1872.5 1
< 0.1%
1886 1
< 0.1%
1890 1
< 0.1%
ValueCountFrequency (%)
43782 1
< 0.1%
43770.5 1
< 0.1%
43759.5 1
< 0.1%
43758.5 1
< 0.1%
43698 1
< 0.1%

CN
Real number (ℝ)

Distinct14174
Distinct (%)42.9%
Missing66938
Missing (%)66.9%
Infinite0
Infinite (%)0.0%
Mean36994.42359
Minimum24055
Maximum44923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:21.392100image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum24055
5-th percentile28104.725
Q129167.875
median38592.5
Q341473.5
95-th percentile43241.775
Maximum44923
Range20868
Interquartile range (IQR)12305.625

Descriptive statistics

Standard deviation5672.065582
Coefficient of variation (CV)0.1533221776
Kurtosis-0.8739433478
Mean36994.42359
Median Absolute Deviation (MAD)3023.25
Skewness-0.7541875028
Sum1223405588
Variance32172327.96
MonotonicityNot monotonic
2023-07-01T06:59:21.487583image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28679.5 24
 
< 0.1%
28709.5 20
 
< 0.1%
28669 20
 
< 0.1%
28692.5 19
 
< 0.1%
42242 18
 
< 0.1%
28696 18
 
< 0.1%
44498 18
 
< 0.1%
28674.5 18
 
< 0.1%
28691 17
 
< 0.1%
28696.5 17
 
< 0.1%
Other values (14164) 32881
32.9%
(Missing) 66938
66.9%
ValueCountFrequency (%)
24055 1
< 0.1%
24059.5 1
< 0.1%
24081.5 1
< 0.1%
24095 1
< 0.1%
24099 1
< 0.1%
ValueCountFrequency (%)
44923 1
< 0.1%
44920.5 1
< 0.1%
44919.5 1
< 0.1%
44918.5 1
< 0.1%
44918 1
< 0.1%

CO
Real number (ℝ)

Distinct46151
Distinct (%)46.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6868.778153
Minimum-48780.5
Maximum10702.5
Zeros10
Zeros (%)< 0.1%
Negative73453
Negative (%)73.4%
Memory size3.5 MiB
2023-07-01T06:59:21.588903image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-48780.5
5-th percentile-27943.325
Q1-10821.375
median-3563
Q3125
95-th percentile4514.5
Maximum10702.5
Range59483
Interquartile range (IQR)10946.375

Descriptive statistics

Standard deviation10848.75862
Coefficient of variation (CV)-1.579430633
Kurtosis2.886378318
Mean-6868.778153
Median Absolute Deviation (MAD)4285
Skewness-1.661799902
Sum-686932765.5
Variance117695563.7
MonotonicityNot monotonic
2023-07-01T06:59:21.686131image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-394 23
 
< 0.1%
-6056.5 23
 
< 0.1%
231 20
 
< 0.1%
-399.5 19
 
< 0.1%
87 19
 
< 0.1%
-6026.5 18
 
< 0.1%
-6043.5 18
 
< 0.1%
-6040 18
 
< 0.1%
-6061.5 18
 
< 0.1%
-6067 17
 
< 0.1%
Other values (46141) 99815
99.8%
ValueCountFrequency (%)
-48780.5 1
< 0.1%
-48712.5 1
< 0.1%
-48702.5 1
< 0.1%
-48676.5 1
< 0.1%
-48665.5 1
< 0.1%
ValueCountFrequency (%)
10702.5 1
< 0.1%
10596.5 1
< 0.1%
10543.5 1
< 0.1%
10529 1
< 0.1%
10499 1
< 0.1%

CP
Real number (ℝ)

Distinct50955
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-15524.44581
Minimum-50423.5
Maximum3903.5
Zeros0
Zeros (%)0.0%
Negative96390
Negative (%)96.4%
Memory size3.5 MiB
2023-07-01T06:59:21.797613image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-50423.5
5-th percentile-38077.325
Q1-24113.5
median-11720.75
Q3-7441.5
95-th percentile-881.175
Maximum3903.5
Range54327
Interquartile range (IQR)16672

Descriptive statistics

Standard deviation11975.34883
Coefficient of variation (CV)-0.771386559
Kurtosis-0.2390205697
Mean-15524.44581
Median Absolute Deviation (MAD)7745.25
Skewness-0.7528570769
Sum-1552568776
Variance143408979.7
MonotonicityNot monotonic
2023-07-01T06:59:21.906830image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-7699.5 25
 
< 0.1%
-7669.5 20
 
< 0.1%
-8406 20
 
< 0.1%
-7688 19
 
< 0.1%
-6150 19
 
< 0.1%
-7683 19
 
< 0.1%
-7686.5 18
 
< 0.1%
-7682.5 18
 
< 0.1%
-7701 18
 
< 0.1%
-7685.5 18
 
< 0.1%
Other values (50945) 99814
99.8%
ValueCountFrequency (%)
-50423.5 1
< 0.1%
-50355.5 1
< 0.1%
-50345.5 1
< 0.1%
-50319.5 1
< 0.1%
-50308.5 1
< 0.1%
ValueCountFrequency (%)
3903.5 1
< 0.1%
3866 1
< 0.1%
3807 1
< 0.1%
3799.5 1
< 0.1%
3794.5 1
< 0.1%

CQ
Real number (ℝ)

Distinct54089
Distinct (%)54.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-23301.77476
Minimum-57922
Maximum-214.5
Zeros0
Zeros (%)0.0%
Negative100008
Negative (%)100.0%
Memory size3.5 MiB
2023-07-01T06:59:22.237165image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-57922
5-th percentile-49497.325
Q1-34526.25
median-22681.75
Q3-10261.375
95-th percentile-5360.675
Maximum-214.5
Range57707.5
Interquartile range (IQR)24264.875

Descriptive statistics

Standard deviation14291.14598
Coefficient of variation (CV)-0.6133071891
Kurtosis-1.032980674
Mean-23301.77476
Median Absolute Deviation (MAD)12361.75
Skewness-0.3882942733
Sum-2330363890
Variance204236853.5
MonotonicityNot monotonic
2023-07-01T06:59:22.340956image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-8533.5 22
 
< 0.1%
-8520.5 20
 
< 0.1%
-10049 19
 
< 0.1%
-7793 19
 
< 0.1%
-8517 19
 
< 0.1%
-8503.5 18
 
< 0.1%
-8522 17
 
< 0.1%
-8544 17
 
< 0.1%
-8530 17
 
< 0.1%
-8526.5 17
 
< 0.1%
Other values (54079) 99823
99.8%
ValueCountFrequency (%)
-57922 1
< 0.1%
-57905.5 1
< 0.1%
-57886 1
< 0.1%
-57853 1
< 0.1%
-57849 1
< 0.1%
ValueCountFrequency (%)
-214.5 1
< 0.1%
-225 1
< 0.1%
-227 1
< 0.1%
-241 1
< 0.1%
-241.5 1
< 0.1%

CR
Real number (ℝ)

Distinct14081
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean537075063.2
Minimum355824920
Maximum784643981
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:22.450088image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum355824920
5-th percentile447752286.1
Q1537027577.8
median537027577.8
Q3537027577.8
95-th percentile594918298.9
Maximum784643981
Range428819061
Interquartile range (IQR)0

Descriptive statistics

Standard deviation58408045.55
Coefficient of variation (CV)0.1087521085
Kurtosis7.790399597
Mean537075063.2
Median Absolute Deviation (MAD)0
Skewness1.264181371
Sum5.371180292 × 1013
Variance3.411499785 × 1015
MonotonicityNot monotonic
2023-07-01T06:59:22.551370image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
537027577.8 82389
82.4%
722776172 365
 
0.4%
534587333 5
 
< 0.1%
449342766 4
 
< 0.1%
487183574 4
 
< 0.1%
781148988 4
 
< 0.1%
747300480 4
 
< 0.1%
486980186 4
 
< 0.1%
589267841 4
 
< 0.1%
379637747 4
 
< 0.1%
Other values (14071) 17221
 
17.2%
ValueCountFrequency (%)
355824920 1
< 0.1%
355825280 1
< 0.1%
355825363 1
< 0.1%
356103806 2
< 0.1%
356265274 1
< 0.1%
ValueCountFrequency (%)
784643981 1
< 0.1%
784643489 2
< 0.1%
784643343 2
< 0.1%
784643071 1
< 0.1%
784643037 1
< 0.1%

CS
Real number (ℝ)

Distinct1049
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.954917617 × 10-5
Minimum-0.00183008
Maximum0.00086474
Zeros0
Zeros (%)0.0%
Negative29916
Negative (%)29.9%
Memory size3.5 MiB
2023-07-01T06:59:22.649872image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-0.00183008
5-th percentile-0.00027596
Q1-2.69 × 10-5
median8.91 × 10-5
Q30.0001
95-th percentile0.00012002
Maximum0.00086474
Range0.00269482
Interquartile range (IQR)0.0001269

Descriptive statistics

Standard deviation0.0001832772593
Coefficient of variation (CV)9.375190943
Kurtosis17.96369753
Mean1.954917617 × 10-5
Median Absolute Deviation (MAD)2.714 × 10-5
Skewness-2.846679654
Sum1.95507401
Variance3.359055379 × 10-8
MonotonicityNot monotonic
2023-07-01T06:59:22.753671image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0001 42970
43.0%
-0.00079855 530
 
0.5%
3.53 × 10-5202
 
0.2%
4.65 × 10-5191
 
0.2%
4.76 × 10-5163
 
0.2%
1.08 × 10-5162
 
0.2%
2.57 × 10-5158
 
0.2%
3.41 × 10-5149
 
0.1%
4.23 × 10-5148
 
0.1%
4.51 × 10-5146
 
0.1%
Other values (1039) 55189
55.2%
ValueCountFrequency (%)
-0.00183008 45
< 0.1%
-0.00159473 51
0.1%
-0.00143997 50
< 0.1%
-0.00141305 42
< 0.1%
-0.00112725 51
0.1%
ValueCountFrequency (%)
0.00086474 47
< 0.1%
0.00083203 48
< 0.1%
0.00063657 47
< 0.1%
0.00062284 40
< 0.1%
0.0006027 45
< 0.1%

CT
Real number (ℝ)

Distinct2861
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean448869813.7
Minimum342725898
Maximum544110050
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:22.862595image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum342725898
5-th percentile448876579.2
Q1448876579.2
median448876579.2
Q3448876579.2
95-th percentile448876579.2
Maximum544110050
Range201384152
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9550831.287
Coefficient of variation (CV)0.02127750853
Kurtosis53.45001325
Mean448869813.7
Median Absolute Deviation (MAD)0
Skewness-1.240507384
Sum4.489057233 × 1013
Variance9.121837828 × 1013
MonotonicityNot monotonic
2023-07-01T06:59:22.970912image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448876579.2 97145
97.1%
459672487 2
 
< 0.1%
439209661 2
 
< 0.1%
465218545 2
 
< 0.1%
516345192 1
 
< 0.1%
397741752 1
 
< 0.1%
512295239 1
 
< 0.1%
481656543 1
 
< 0.1%
426922786 1
 
< 0.1%
451970013 1
 
< 0.1%
Other values (2851) 2851
 
2.9%
ValueCountFrequency (%)
342725898 1
< 0.1%
342771170 1
< 0.1%
343591022 1
< 0.1%
344478233 1
< 0.1%
344556934 1
< 0.1%
ValueCountFrequency (%)
544110050 1
< 0.1%
544085066 1
< 0.1%
543678669 1
< 0.1%
539587573 1
< 0.1%
538863073 1
< 0.1%

CU
Real number (ℝ)

Distinct2790
Distinct (%)2.8%
Missing38
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-1103.868805
Minimum-14000000
Maximum5204660
Zeros0
Zeros (%)0.0%
Negative98518
Negative (%)98.5%
Memory size3.5 MiB
2023-07-01T06:59:23.089881image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-14000000
5-th percentile-936.137366
Q1-936.137366
median-936.137366
Q3-936.137366
95-th percentile-936.137366
Maximum5204660
Range19204660
Interquartile range (IQR)0

Descriptive statistics

Standard deviation98740.9278
Coefficient of variation (CV)-89.44987607
Kurtosis5038.298003
Mean-1103.868805
Median Absolute Deviation (MAD)0
Skewness-37.45613408
Sum-110353764.4
Variance9749770822
MonotonicityNot monotonic
2023-07-01T06:59:23.198610image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-936.137366 97145
97.1%
-2 6
 
< 0.1%
2 5
 
< 0.1%
-4 3
 
< 0.1%
-1000 3
 
< 0.1%
-24198 2
 
< 0.1%
-3278 2
 
< 0.1%
1 2
 
< 0.1%
4 2
 
< 0.1%
3632 2
 
< 0.1%
Other values (2780) 2798
 
2.8%
(Missing) 38
 
< 0.1%
ValueCountFrequency (%)
-14000000 1
< 0.1%
-7155627 1
< 0.1%
-5827869 1
< 0.1%
-4735240 1
< 0.1%
-4617928 1
< 0.1%
ValueCountFrequency (%)
5204660 1
< 0.1%
4912204 1
< 0.1%
4118700 1
< 0.1%
3245025 1
< 0.1%
3007048 1
< 0.1%

CV
Real number (ℝ)

Distinct2553
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7471390.308
Minimum-125095738
Maximum120439111
Zeros0
Zeros (%)0.0%
Negative99077
Negative (%)99.1%
Memory size3.5 MiB
2023-07-01T06:59:23.322094image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-125095738
5-th percentile-7447856.603
Q1-7447856.603
median-7447856.603
Q3-7447856.603
95-th percentile-7447856.603
Maximum120439111
Range245534849
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5746086.715
Coefficient of variation (CV)-0.7690786424
Kurtosis157.9653688
Mean-7471390.308
Median Absolute Deviation (MAD)0
Skewness2.794806167
Sum-7.471988019 × 1011
Variance3.301751253 × 1013
MonotonicityNot monotonic
2023-07-01T06:59:23.431036image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-7447856.603 97146
97.1%
-78000000 23
 
< 0.1%
-16000000 17
 
< 0.1%
-36000000 15
 
< 0.1%
-35000000 15
 
< 0.1%
-30000000 14
 
< 0.1%
-14000000 14
 
< 0.1%
-39000000 13
 
< 0.1%
-27000000 13
 
< 0.1%
-15000000 12
 
< 0.1%
Other values (2543) 2726
 
2.7%
ValueCountFrequency (%)
-125095738 1
< 0.1%
-123762651 1
< 0.1%
-118378224 1
< 0.1%
-117882428 1
< 0.1%
-116612423 1
< 0.1%
ValueCountFrequency (%)
120439111 1
< 0.1%
119179650 1
< 0.1%
116087097 1
< 0.1%
115740418 1
< 0.1%
115597511 1
< 0.1%

CW
Real number (ℝ)

Distinct2495
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.009080051015
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative98610
Negative (%)98.6%
Memory size3.5 MiB
2023-07-01T06:59:23.542904image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.008536075
Q1-0.008536075
median-0.008536075
Q3-0.008536075
95-th percentile-0.008536075
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1160893573
Coefficient of variation (CV)-12.78509968
Kurtosis51.97491184
Mean-0.009080051015
Median Absolute Deviation (MAD)0
Skewness-0.1829978339
Sum-908.0777419
Variance0.01347673888
MonotonicityNot monotonic
2023-07-01T06:59:23.654095image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.008536075 97146
97.1%
-1 36
 
< 0.1%
1 30
 
< 0.1%
0.9999 14
 
< 0.1%
-0.9999 12
 
< 0.1%
0.9996 8
 
< 0.1%
-0.9998 7
 
< 0.1%
-0.9997 7
 
< 0.1%
0.9994 6
 
< 0.1%
-0.9996 6
 
< 0.1%
Other values (2485) 2736
 
2.7%
ValueCountFrequency (%)
-1 36
< 0.1%
-0.9999 12
 
< 0.1%
-0.9998 7
 
< 0.1%
-0.9997 7
 
< 0.1%
-0.9996 6
 
< 0.1%
ValueCountFrequency (%)
1 30
< 0.1%
0.9999 14
< 0.1%
0.9998 5
 
< 0.1%
0.9997 5
 
< 0.1%
0.9996 8
 
< 0.1%

CX
Real number (ℝ)

Distinct2846
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4941.320842
Minimum-20000000
Maximum7225513
Zeros0
Zeros (%)0.0%
Negative98610
Negative (%)98.6%
Memory size3.5 MiB
2023-07-01T06:59:23.771500image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-20000000
5-th percentile-4394.446079
Q1-4394.446079
median-4394.446079
Q3-4394.446079
95-th percentile-4394.446079
Maximum7225513
Range27225513
Interquartile range (IQR)0

Descriptive statistics

Standard deviation134875.7883
Coefficient of variation (CV)-27.29549296
Kurtosis7181.91431
Mean-4941.320842
Median Absolute Deviation (MAD)0
Skewness-50.63487999
Sum-494171614.8
Variance1.819147826 × 1010
MonotonicityNot monotonic
2023-07-01T06:59:23.885082image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4394.446079 97146
97.1%
52438 2
 
< 0.1%
-823 2
 
< 0.1%
-9015 2
 
< 0.1%
17378 2
 
< 0.1%
6682 2
 
< 0.1%
-5473 2
 
< 0.1%
31034 2
 
< 0.1%
256993 2
 
< 0.1%
3474 2
 
< 0.1%
Other values (2836) 2844
 
2.8%
ValueCountFrequency (%)
-20000000 1
< 0.1%
-15000000 1
< 0.1%
-8435546 1
< 0.1%
-7653732 1
< 0.1%
-6756239 1
< 0.1%
ValueCountFrequency (%)
7225513 1
< 0.1%
6870817 1
< 0.1%
6330526 1
< 0.1%
5115421 1
< 0.1%
4739589 1
< 0.1%

CY
Real number (ℝ)

Distinct2850
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean598191.768
Minimum2
Maximum32845973
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:23.997545image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile599342.7794
Q1599342.7794
median599342.7794
Q3599342.7794
95-th percentile599342.7794
Maximum32845973
Range32845971
Interquartile range (IQR)0

Descriptive statistics

Standard deviation257055.1785
Coefficient of variation (CV)0.4297203542
Kurtosis5894.746776
Mean598191.768
Median Absolute Deviation (MAD)0
Skewness62.21353436
Sum5.982396234 × 1010
Variance6.607736477 × 1010
MonotonicityNot monotonic
2023-07-01T06:59:24.097818image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
599342.7794 97146
97.1%
6 3
 
< 0.1%
24809 2
 
< 0.1%
5498 2
 
< 0.1%
11076 2
 
< 0.1%
58587 2
 
< 0.1%
1736 2
 
< 0.1%
274462 2
 
< 0.1%
29123 2
 
< 0.1%
2045 2
 
< 0.1%
Other values (2840) 2843
 
2.8%
ValueCountFrequency (%)
2 1
 
< 0.1%
5 1
 
< 0.1%
6 3
< 0.1%
11 1
 
< 0.1%
75 1
 
< 0.1%
ValueCountFrequency (%)
32845973 1
< 0.1%
30419500 1
< 0.1%
22712087 1
< 0.1%
20979305 1
< 0.1%
18661588 1
< 0.1%

CZ
Real number (ℝ)

Distinct325
Distinct (%)0.3%
Missing27
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.108300959
Minimum0.02
Maximum303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:24.214578image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile4.117754266
Q14.117754266
median4.117754266
Q34.117754266
95-th percentile4.117754266
Maximum303
Range302.98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.626319767
Coefficient of variation (CV)0.6392715122
Kurtosis5114.785681
Mean4.108300959
Median Absolute Deviation (MAD)0
Skewness59.27685836
Sum410752.0382
Variance6.897555517
MonotonicityNot monotonic
2023-07-01T06:59:24.316617image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.117754266 97145
97.1%
0.1 82
 
0.1%
0.08 78
 
0.1%
0.07 78
 
0.1%
0.12 70
 
0.1%
0.27 68
 
0.1%
0.05 67
 
0.1%
0.17 66
 
0.1%
0.13 66
 
0.1%
0.15 62
 
0.1%
Other values (315) 2199
 
2.2%
ValueCountFrequency (%)
0.02 57
0.1%
0.03 61
0.1%
0.04 1
 
< 0.1%
0.05 67
0.1%
0.07 78
0.1%
ValueCountFrequency (%)
303 1
< 0.1%
296 1
< 0.1%
262 1
< 0.1%
197 1
< 0.1%
168 1
< 0.1%

DA
Real number (ℝ)

Distinct321
Distinct (%)0.3%
Missing25
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.855976377
Minimum0.02
Maximum303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:24.419413image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile3.861616615
Q13.861616615
median3.861616615
Q33.861616615
95-th percentile3.861616615
Maximum303
Range302.98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.475497255
Coefficient of variation (CV)0.6419897358
Kurtosis4659.215961
Mean3.855976377
Median Absolute Deviation (MAD)0
Skewness56.19837721
Sum385532.0861
Variance6.128086662
MonotonicityNot monotonic
2023-07-01T06:59:24.516156image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.861616615 97145
97.1%
0.05 83
 
0.1%
0.23 77
 
0.1%
0.07 77
 
0.1%
0.1 76
 
0.1%
0.13 76
 
0.1%
0.2 72
 
0.1%
0.17 71
 
0.1%
0.03 70
 
0.1%
0.12 67
 
0.1%
Other values (311) 2169
 
2.2%
ValueCountFrequency (%)
0.02 58
0.1%
0.03 70
0.1%
0.04 1
 
< 0.1%
0.05 83
0.1%
0.07 77
0.1%
ValueCountFrequency (%)
303 1
< 0.1%
230 1
< 0.1%
222 1
< 0.1%
207 1
< 0.1%
168 1
< 0.1%

DB
Real number (ℝ)

Distinct373
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.22294854
Minimum1
Maximum4103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:24.621147image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile85.24496776
Q185.24496776
median85.24496776
Q385.24496776
95-th percentile85.24496776
Maximum4103
Range4102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.83313437
Coefficient of variation (CV)0.3265920136
Kurtosis6145.092016
Mean85.22294854
Median Absolute Deviation (MAD)0
Skewness59.70514271
Sum8522976.638
Variance774.6833687
MonotonicityNot monotonic
2023-07-01T06:59:24.932552image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.24496776 97146
97.1%
10 49
 
< 0.1%
17 48
 
< 0.1%
25 46
 
< 0.1%
14 46
 
< 0.1%
9 45
 
< 0.1%
6 45
 
< 0.1%
7 44
 
< 0.1%
12 41
 
< 0.1%
8 41
 
< 0.1%
Other values (363) 2457
 
2.5%
ValueCountFrequency (%)
1 8
 
< 0.1%
2 25
< 0.1%
3 18
< 0.1%
4 38
< 0.1%
5 33
< 0.1%
ValueCountFrequency (%)
4103 1
< 0.1%
2550 1
< 0.1%
2076 1
< 0.1%
2073 1
< 0.1%
1966 1
< 0.1%

DC
Unsupported

REJECTED  UNSUPPORTED 

Missing5
Missing (%)< 0.1%
Memory size3.5 MiB

DD
Unsupported

REJECTED  UNSUPPORTED 

Missing5
Missing (%)< 0.1%
Memory size3.5 MiB

DE
Real number (ℝ)

Distinct1037
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08701803856
Minimum-1016
Maximum1100.5
Zeros9868
Zeros (%)9.9%
Negative45185
Negative (%)45.2%
Memory size3.5 MiB
2023-07-01T06:59:25.033162image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-1016
5-th percentile-50
Q1-10.5
median0
Q310
95-th percentile50
Maximum1100.5
Range2116.5
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation36.64187687
Coefficient of variation (CV)-421.0836912
Kurtosis46.42887554
Mean-0.08701803856
Median Absolute Deviation (MAD)10
Skewness-0.2250999295
Sum-8702.5
Variance1342.627141
MonotonicityNot monotonic
2023-07-01T06:59:25.140745image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9868
 
9.9%
0.5 4516
 
4.5%
-0.5 4470
 
4.5%
-1 1123
 
1.1%
1 1108
 
1.1%
1.5 1081
 
1.1%
2 1019
 
1.0%
-1.5 978
 
1.0%
-2.5 974
 
1.0%
-3 924
 
0.9%
Other values (1027) 73947
73.9%
ValueCountFrequency (%)
-1016 1
< 0.1%
-892 1
< 0.1%
-782 1
< 0.1%
-777.5 1
< 0.1%
-740.5 1
< 0.1%
ValueCountFrequency (%)
1100.5 1
< 0.1%
691.5 1
< 0.1%
572.5 1
< 0.1%
524.5 1
< 0.1%
522.5 1
< 0.1%

DF
Real number (ℝ)

Distinct1265
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.776297896 × 10-6
Minimum-0.02438
Maximum0.02088
Zeros9868
Zeros (%)9.9%
Negative45185
Negative (%)45.2%
Memory size3.5 MiB
2023-07-01T06:59:25.249515image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum-0.02438
5-th percentile-0.00135
Q1-0.00034
median0
Q30.00033
95-th percentile0.00133
Maximum0.02088
Range0.04526
Interquartile range (IQR)0.00067

Descriptive statistics

Standard deviation0.0009708839145
Coefficient of variation (CV)-257.0993977
Kurtosis32.29195342
Mean-3.776297896 × 10-6
Median Absolute Deviation (MAD)0.00034
Skewness-0.1648922917
Sum-0.37766
Variance9.426155753 × 10-7
MonotonicityNot monotonic
2023-07-01T06:59:25.348418image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9868
 
9.9%
-1 × 10-52325
 
2.3%
1 × 10-52255
 
2.3%
3 × 10-51531
 
1.5%
-3 × 10-51432
 
1.4%
2 × 10-51329
 
1.3%
-2 × 10-51255
 
1.3%
-0.00015 651
 
0.7%
0.00015 645
 
0.6%
0.00012 638
 
0.6%
Other values (1255) 78079
78.1%
ValueCountFrequency (%)
-0.02438 1
< 0.1%
-0.02151 1
< 0.1%
-0.01882 1
< 0.1%
-0.0187 1
< 0.1%
-0.01573 1
< 0.1%
ValueCountFrequency (%)
0.02088 1
< 0.1%
0.01808 1
< 0.1%
0.01439 1
< 0.1%
0.01399 1
< 0.1%
0.01397 1
< 0.1%

L_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006039516839
Minimum0
Maximum1
Zeros99404
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:25.427912image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07747968186
Coefficient of variation (CV)12.82878812
Kurtosis160.5903239
Mean0.006039516839
Median Absolute Deviation (MAD)0
Skewness12.75096515
Sum604
Variance0.006003101101
MonotonicityNot monotonic
2023-07-01T06:59:25.494162image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 99404
99.4%
1 604
 
0.6%
ValueCountFrequency (%)
0 99404
99.4%
1 604
 
0.6%
ValueCountFrequency (%)
1 604
 
0.6%
0 99404
99.4%

O_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00466962643
Minimum0
Maximum1
Zeros99541
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:25.561963image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0681752704
Coefficient of variation (CV)14.59972686
Kurtosis209.1651017
Mean0.00466962643
Median Absolute Deviation (MAD)0
Skewness14.53137704
Sum467
Variance0.004647867494
MonotonicityNot monotonic
2023-07-01T06:59:25.628636image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 99541
99.5%
1 467
 
0.5%
ValueCountFrequency (%)
0 99541
99.5%
1 467
 
0.5%
ValueCountFrequency (%)
1 467
 
0.5%
0 99541
99.5%

R_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004249660027
Minimum0
Maximum1
Zeros99583
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:25.696230image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06505107785
Coefficient of variation (CV)15.30736046
Kurtosis230.3287843
Mean0.004249660027
Median Absolute Deviation (MAD)0
Skewness15.24218416
Sum425
Variance0.00423164273
MonotonicityNot monotonic
2023-07-01T06:59:25.762406image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 99583
99.6%
1 425
 
0.4%
ValueCountFrequency (%)
0 99583
99.6%
1 425
 
0.4%
ValueCountFrequency (%)
1 425
 
0.4%
0 99583
99.6%

AE_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007199424046
Minimum0
Maximum1
Zeros99288
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:25.831981image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08454385732
Coefficient of variation (CV)11.74314178
Kurtosis133.9140067
Mean0.007199424046
Median Absolute Deviation (MAD)0
Skewness11.65810142
Sum720
Variance0.00714766381
MonotonicityNot monotonic
2023-07-01T06:59:25.900907image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 99288
99.3%
1 720
 
0.7%
ValueCountFrequency (%)
0 99288
99.3%
1 720
 
0.7%
ValueCountFrequency (%)
1 720
 
0.7%
0 99288
99.3%

AF_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01170906327
Minimum0
Maximum1
Zeros98837
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:25.974269image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1075735879
Coefficient of variation (CV)9.187206988
Kurtosis80.41985667
Mean0.01170906327
Median Absolute Deviation (MAD)0
Skewness9.078449669
Sum1171
Variance0.01157207682
MonotonicityNot monotonic
2023-07-01T06:59:26.040496image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 98837
98.8%
1 1171
 
1.2%
ValueCountFrequency (%)
0 98837
98.8%
1 1171
 
1.2%
ValueCountFrequency (%)
1 1171
 
1.2%
0 98837
98.8%

AH_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008499320054
Minimum0
Maximum1
Zeros99158
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:26.112569image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09179959628
Coefficient of variation (CV)10.8008165
Kurtosis112.6707358
Mean0.008499320054
Median Absolute Deviation (MAD)0
Skewness10.70833706
Sum850
Variance0.008427165878
MonotonicityNot monotonic
2023-07-01T06:59:26.181200image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 99158
99.2%
1 850
 
0.8%
ValueCountFrequency (%)
0 99158
99.2%
1 850
 
0.8%
ValueCountFrequency (%)
1 850
 
0.8%
0 99158
99.2%

AM_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01953843693
Minimum0
Maximum1
Zeros98054
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:26.254568image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1384083739
Coefficient of variation (CV)7.083902075
Kurtosis46.20346458
Mean0.01953843693
Median Absolute Deviation (MAD)0
Skewness6.942804951
Sum1954
Variance0.01915687796
MonotonicityNot monotonic
2023-07-01T06:59:26.325347image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 98054
98.0%
1 1954
 
2.0%
ValueCountFrequency (%)
0 98054
98.0%
1 1954
 
2.0%
ValueCountFrequency (%)
1 1954
 
2.0%
0 98054
98.0%

AN_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01730861531
Minimum0
Maximum1
Zeros98277
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:26.393398image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1304193131
Coefficient of variation (CV)7.534936258
Kurtosis52.79500968
Mean0.01730861531
Median Absolute Deviation (MAD)0
Skewness7.402293825
Sum1731
Variance0.01700919723
MonotonicityNot monotonic
2023-07-01T06:59:26.461033image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 98277
98.3%
1 1731
 
1.7%
ValueCountFrequency (%)
0 98277
98.3%
1 1731
 
1.7%
ValueCountFrequency (%)
1 1731
 
1.7%
0 98277
98.3%

AO_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01963842893
Minimum0
Maximum1
Zeros98044
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:26.530076image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1387550127
Coefficient of variation (CV)7.065484374
Kurtosis45.94295901
Mean0.01963842893
Median Absolute Deviation (MAD)0
Skewness6.924019081
Sum1964
Variance0.01925295355
MonotonicityNot monotonic
2023-07-01T06:59:26.602280image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 98044
98.0%
1 1964
 
2.0%
ValueCountFrequency (%)
0 98044
98.0%
1 1964
 
2.0%
ValueCountFrequency (%)
1 1964
 
2.0%
0 98044
98.0%

AQ_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02291816655
Minimum0
Maximum1
Zeros97716
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:26.671309image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1496434031
Coefficient of variation (CV)6.529466606
Kurtosis38.65895634
Mean0.02291816655
Median Absolute Deviation (MAD)0
Skewness6.376376967
Sum2292
Variance0.0223931481
MonotonicityNot monotonic
2023-07-01T06:59:26.739070image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 97716
97.7%
1 2292
 
2.3%
ValueCountFrequency (%)
0 97716
97.7%
1 2292
 
2.3%
ValueCountFrequency (%)
1 2292
 
2.3%
0 97716
97.7%

AT_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03376729862
Minimum0
Maximum1
Zeros96631
Zeros (%)96.6%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:26.806465image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1806305467
Coefficient of variation (CV)5.34927442
Kurtosis24.65069049
Mean0.03376729862
Median Absolute Deviation (MAD)0
Skewness5.16238293
Sum3377
Variance0.03262739441
MonotonicityNot monotonic
2023-07-01T06:59:26.872700image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 96631
96.6%
1 3377
 
3.4%
ValueCountFrequency (%)
0 96631
96.6%
1 3377
 
3.4%
ValueCountFrequency (%)
1 3377
 
3.4%
0 96631
96.6%

AU_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01112910967
Minimum0
Maximum1
Zeros98895
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:26.940580image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1049064471
Coefficient of variation (CV)9.426310833
Kurtosis84.8700049
Mean0.01112910967
Median Absolute Deviation (MAD)0
Skewness9.320316928
Sum1113
Variance0.01100536263
MonotonicityNot monotonic
2023-07-01T06:59:27.011698image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 98895
98.9%
1 1113
 
1.1%
ValueCountFrequency (%)
0 98895
98.9%
1 1113
 
1.1%
ValueCountFrequency (%)
1 1113
 
1.1%
0 98895
98.9%

AV_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01085913127
Minimum0
Maximum1
Zeros98922
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:27.088345image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1036403297
Coefficient of variation (CV)9.544071909
Kurtosis87.10379091
Mean0.01085913127
Median Absolute Deviation (MAD)0
Skewness9.439388167
Sum1086
Variance0.01074131794
MonotonicityNot monotonic
2023-07-01T06:59:27.159542image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 98922
98.9%
1 1086
 
1.1%
ValueCountFrequency (%)
0 98922
98.9%
1 1086
 
1.1%
ValueCountFrequency (%)
1 1086
 
1.1%
0 98922
98.9%

AW_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004099672026
Minimum0
Maximum1
Zeros99598
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:27.235743image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06389761765
Coefficient of variation (CV)15.58603158
Kurtosis238.9380735
Mean0.004099672026
Median Absolute Deviation (MAD)0
Skewness15.52202613
Sum410
Variance0.004082905541
MonotonicityNot monotonic
2023-07-01T06:59:27.306576image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 99598
99.6%
1 410
 
0.4%
ValueCountFrequency (%)
0 99598
99.6%
1 410
 
0.4%
ValueCountFrequency (%)
1 410
 
0.4%
0 99598
99.6%

AX_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006019518439
Minimum0
Maximum1
Zeros99406
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:27.378333image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07735207602
Coefficient of variation (CV)12.85021
Kurtosis161.1404181
Mean0.006019518439
Median Absolute Deviation (MAD)0
Skewness12.7725172
Sum602
Variance0.005983343665
MonotonicityNot monotonic
2023-07-01T06:59:27.451399image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 99406
99.4%
1 602
 
0.6%
ValueCountFrequency (%)
0 99406
99.4%
1 602
 
0.6%
ValueCountFrequency (%)
1 602
 
0.6%
0 99406
99.4%

AY_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006069514439
Minimum0
Maximum1
Zeros99401
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:27.524266image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07767068788
Coefficient of variation (CV)12.79685363
Kurtosis159.7719798
Mean0.006069514439
Median Absolute Deviation (MAD)0
Skewness12.71883582
Sum607
Variance0.006032735756
MonotonicityNot monotonic
2023-07-01T06:59:27.596084image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 99401
99.4%
1 607
 
0.6%
ValueCountFrequency (%)
0 99401
99.4%
1 607
 
0.6%
ValueCountFrequency (%)
1 607
 
0.6%
0 99401
99.4%

AZ_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01088912887
Minimum0
Maximum1
Zeros98919
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:27.669350image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1037818069
Coefficient of variation (CV)9.530772216
Kurtosis86.85012184
Mean0.01088912887
Median Absolute Deviation (MAD)0
Skewness9.425942127
Sum1089
Variance0.01077066344
MonotonicityNot monotonic
2023-07-01T06:59:27.740105image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 98919
98.9%
1 1089
 
1.1%
ValueCountFrequency (%)
0 98919
98.9%
1 1089
 
1.1%
ValueCountFrequency (%)
1 1089
 
1.1%
0 98919
98.9%

BA_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003889688825
Minimum0
Maximum1
Zeros99619
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:27.812966image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06224626807
Coefficient of variation (CV)16.00289146
Kurtosis252.1065433
Mean0.003889688825
Median Absolute Deviation (MAD)0
Skewness15.94056152
Sum389
Variance0.003874597889
MonotonicityNot monotonic
2023-07-01T06:59:27.885026image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 99619
99.6%
1 389
 
0.4%
ValueCountFrequency (%)
0 99619
99.6%
1 389
 
0.4%
ValueCountFrequency (%)
1 389
 
0.4%
0 99619
99.6%

BD_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003259739221
Minimum0
Maximum1
Zeros99682
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:27.956848image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05700127902
Coefficient of variation (CV)17.48645372
Kurtosis301.7914247
Mean0.003259739221
Median Absolute Deviation (MAD)0
Skewness17.4294403
Sum326
Variance0.00324914581
MonotonicityNot monotonic
2023-07-01T06:59:28.022193image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 99682
99.7%
1 326
 
0.3%
ValueCountFrequency (%)
0 99682
99.7%
1 326
 
0.3%
ValueCountFrequency (%)
1 326
 
0.3%
0 99682
99.7%

BI_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005669546436
Minimum0
Maximum1
Zeros99441
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:28.091370image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07508301439
Coefficient of variation (CV)13.24321359
Kurtosis171.3952832
Mean0.005669546436
Median Absolute Deviation (MAD)0
Skewness13.16783413
Sum567
Variance0.00563745905
MonotonicityNot monotonic
2023-07-01T06:59:28.157745image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 99441
99.4%
1 567
 
0.6%
ValueCountFrequency (%)
0 99441
99.4%
1 567
 
0.6%
ValueCountFrequency (%)
1 567
 
0.6%
0 99441
99.4%

BJ_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008149348052
Minimum0
Maximum1
Zeros99193
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:28.228419image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08990560051
Coefficient of variation (CV)11.03224453
Kurtosis117.7233644
Mean0.008149348052
Median Absolute Deviation (MAD)0
Skewness10.94170965
Sum815
Variance0.008083017002
MonotonicityNot monotonic
2023-07-01T06:59:28.296335image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 99193
99.2%
1 815
 
0.8%
ValueCountFrequency (%)
0 99193
99.2%
1 815
 
0.8%
ValueCountFrequency (%)
1 815
 
0.8%
0 99193
99.2%

BK_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005489560835
Minimum0
Maximum1
Zeros99459
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:28.367445image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07388829506
Coefficient of variation (CV)13.45978254
Kurtosis177.1783724
Mean0.005489560835
Median Absolute Deviation (MAD)0
Skewness13.38562024
Sum549
Variance0.005459480147
MonotonicityNot monotonic
2023-07-01T06:59:28.439488image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 99459
99.5%
1 549
 
0.5%
ValueCountFrequency (%)
0 99459
99.5%
1 549
 
0.5%
ValueCountFrequency (%)
1 549
 
0.5%
0 99459
99.5%

BQ_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0311675066
Minimum0
Maximum1
Zeros96891
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:28.511651image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1737710996
Coefficient of variation (CV)5.575393049
Kurtosis27.11828278
Mean0.0311675066
Median Absolute Deviation (MAD)0
Skewness5.39608566
Sum3117
Variance0.03019639507
MonotonicityNot monotonic
2023-07-01T06:59:28.584387image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 96891
96.9%
1 3117
 
3.1%
ValueCountFrequency (%)
0 96891
96.9%
1 3117
 
3.1%
ValueCountFrequency (%)
1 3117
 
3.1%
0 96891
96.9%

BR_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02278817695
Minimum0
Maximum1
Zeros97729
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:28.658915image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1492283439
Coefficient of variation (CV)6.548498557
Kurtosis38.90772935
Mean0.02278817695
Median Absolute Deviation (MAD)0
Skewness6.395854224
Sum2279
Variance0.02226909861
MonotonicityNot monotonic
2023-07-01T06:59:28.731837image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 97729
97.7%
1 2279
 
2.3%
ValueCountFrequency (%)
0 97729
97.7%
1 2279
 
2.3%
ValueCountFrequency (%)
1 2279
 
2.3%
0 97729
97.7%

BS_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01258899288
Minimum0
Maximum1
Zeros98749
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:28.804282image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1114927551
Coefficient of variation (CV)8.85636811
Kurtosis74.45100349
Mean0.01258899288
Median Absolute Deviation (MAD)0
Skewness8.743541307
Sum1259
Variance0.01243063444
MonotonicityNot monotonic
2023-07-01T06:59:28.875617image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 98749
98.7%
1 1259
 
1.3%
ValueCountFrequency (%)
0 98749
98.7%
1 1259
 
1.3%
ValueCountFrequency (%)
1 1259
 
1.3%
0 98749
98.7%

BT_co
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005489560835
Minimum0
Maximum1
Zeros99459
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:28.948569image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07388829506
Coefficient of variation (CV)13.45978254
Kurtosis177.1783724
Mean0.005489560835
Median Absolute Deviation (MAD)0
Skewness13.38562024
Sum549
Variance0.005459480147
MonotonicityNot monotonic
2023-07-01T06:59:29.019209image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 99459
99.5%
1 549
 
0.5%
ValueCountFrequency (%)
0 99459
99.5%
1 549
 
0.5%
ValueCountFrequency (%)
1 549
 
0.5%
0 99459
99.5%

BZ_co_upd
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007229421646
Minimum0
Maximum1
Zeros99285
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:29.091856image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08471852734
Coefficient of variation (CV)11.71857605
Kurtosis133.3376598
Mean0.007229421646
Median Absolute Deviation (MAD)0
Skewness11.63335692
Sum723
Variance0.007177228875
MonotonicityNot monotonic
2023-07-01T06:59:29.161025image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 99285
99.3%
1 723
 
0.7%
ValueCountFrequency (%)
0 99285
99.3%
1 723
 
0.7%
ValueCountFrequency (%)
1 723
 
0.7%
0 99285
99.3%

CC_co_upd
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0151687865
Minimum0
Maximum1
Zeros98491
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:29.232169image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.122224563
Coefficient of variation (CV)8.057636185
Kurtosis60.94336098
Mean0.0151687865
Median Absolute Deviation (MAD)0
Skewness7.933608398
Sum1517
Variance0.01493884379
MonotonicityNot monotonic
2023-07-01T06:59:29.301359image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 98491
98.5%
1 1517
 
1.5%
ValueCountFrequency (%)
0 98491
98.5%
1 1517
 
1.5%
ValueCountFrequency (%)
1 1517
 
1.5%
0 98491
98.5%

CI_co_upd
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004219662427
Minimum0
Maximum1
Zeros99586
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:29.371303image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0648220556
Coefficient of variation (CV)15.36190554
Kurtosis232.0016785
Mean0.004219662427
Median Absolute Deviation (MAD)0
Skewness15.29696175
Sum422
Variance0.004201898892
MonotonicityNot monotonic
2023-07-01T06:59:29.441775image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 99586
99.6%
1 422
 
0.4%
ValueCountFrequency (%)
0 99586
99.6%
1 422
 
0.4%
ValueCountFrequency (%)
1 422
 
0.4%
0 99586
99.6%

EXP3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3386729062
Minimum0
Maximum3
Zeros77982
Zeros (%)78.0%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:29.509430image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.683592551
Coefficient of variation (CV)2.018444755
Kurtosis1.787221019
Mean0.3386729062
Median Absolute Deviation (MAD)0
Skewness1.798151601
Sum33870
Variance0.4672987758
MonotonicityNot monotonic
2023-07-01T06:59:29.573160image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 77982
78.0%
2 11198
 
11.2%
1 10505
 
10.5%
3 323
 
0.3%
ValueCountFrequency (%)
0 77982
78.0%
1 10505
 
10.5%
2 11198
 
11.2%
3 323
 
0.3%
ValueCountFrequency (%)
3 323
 
0.3%
2 11198
 
11.2%
1 10505
 
10.5%
0 77982
78.0%

EXP2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06691464683
Minimum0
Maximum2
Zeros95545
Zeros (%)95.5%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:29.643103image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3271308313
Coefficient of variation (CV)4.888777672
Kurtosis25.65868011
Mean0.06691464683
Median Absolute Deviation (MAD)0
Skewness5.109362618
Sum6692
Variance0.1070145808
MonotonicityNot monotonic
2023-07-01T06:59:29.710433image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 95545
95.5%
1 2234
 
2.2%
2 2229
 
2.2%
ValueCountFrequency (%)
0 95545
95.5%
1 2234
 
2.2%
2 2229
 
2.2%
ValueCountFrequency (%)
2 2229
 
2.2%
1 2234
 
2.2%
0 95545
95.5%

EXP2EXT
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1122010239
Minimum0
Maximum2
Zeros92476
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:29.785868image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4163985902
Coefficient of variation (CV)3.711183514
Kurtosis13.38331514
Mean0.1122010239
Median Absolute Deviation (MAD)0
Skewness3.79172715
Sum11221
Variance0.173387786
MonotonicityNot monotonic
2023-07-01T06:59:29.851465image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 92476
92.5%
1 3843
 
3.8%
2 3689
 
3.7%
ValueCountFrequency (%)
0 92476
92.5%
1 3843
 
3.8%
2 3689
 
3.7%
ValueCountFrequency (%)
2 3689
 
3.7%
1 3843
 
3.8%
0 92476
92.5%

EXP2CAT05
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.50949924
Minimum0
Maximum2
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:29.928929image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4999322574
Coefficient of variation (CV)0.3311907977
Kurtosis-1.997937053
Mean1.50949924
Median Absolute Deviation (MAD)0
Skewness-0.03824447496
Sum150962
Variance0.249932262
MonotonicityNot monotonic
2023-07-01T06:59:29.994889image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 50955
51.0%
1 49052
49.0%
0 1
 
< 0.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 49052
49.0%
2 50955
51.0%
ValueCountFrequency (%)
2 50955
51.0%
1 49052
49.0%
0 1
 
< 0.1%

EXP2CAT03
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.509529238
Minimum0
Maximum2
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:30.296587image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4999316865
Coefficient of variation (CV)0.331183838
Kurtosis-1.997927852
Mean1.509529238
Median Absolute Deviation (MAD)0
Skewness-0.03836453318
Sum150965
Variance0.2499316911
MonotonicityNot monotonic
2023-07-01T06:59:30.365619image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 50958
51.0%
1 49049
49.0%
0 1
 
< 0.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 49049
49.0%
2 50958
51.0%
ValueCountFrequency (%)
2 50958
51.0%
1 49049
49.0%
0 1
 
< 0.1%

EXP2CAT1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.517308615
Minimum0
Maximum2
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:30.450223image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4997628482
Coefficient of variation (CV)0.3293745539
Kurtosis-1.993217141
Mean1.517308615
Median Absolute Deviation (MAD)0
Skewness-0.06999800921
Sum151743
Variance0.2497629045
MonotonicityNot monotonic
2023-07-01T06:59:30.520164image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 51738
51.7%
1 48267
48.3%
0 3
 
< 0.1%
ValueCountFrequency (%)
0 3
 
< 0.1%
1 48267
48.3%
2 51738
51.7%
ValueCountFrequency (%)
2 51738
51.7%
1 48267
48.3%
0 3
 
< 0.1%

EXP2CAT2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.514078874
Minimum0
Maximum2
Zeros350
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:30.606348image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.506758121
Coefficient of variation (CV)0.3346973066
Kurtosis-1.776359214
Mean1.514078874
Median Absolute Deviation (MAD)0
Skewness-0.1370027533
Sum151420
Variance0.2568037932
MonotonicityNot monotonic
2023-07-01T06:59:30.678912image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 51762
51.8%
1 47896
47.9%
0 350
 
0.3%
ValueCountFrequency (%)
0 350
 
0.3%
1 47896
47.9%
2 51762
51.8%
ValueCountFrequency (%)
2 51762
51.8%
1 47896
47.9%
0 350
 
0.3%

TOUCH
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2342112631
Minimum0
Maximum1
Zeros76585
Zeros (%)76.6%
Negative0
Negative (%)0.0%
Memory size3.5 MiB
2023-07-01T06:59:30.760445image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4235069548
Coefficient of variation (CV)1.808226254
Kurtosis-0.4244685562
Mean0.2342112631
Median Absolute Deviation (MAD)0
Skewness1.255205136
Sum23423
Variance0.1793581408
MonotonicityNot monotonic
2023-07-01T06:59:30.831219image/svg+xmlMatplotlib v3.6.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 76585
76.6%
1 23423
 
23.4%
ValueCountFrequency (%)
0 76585
76.6%
1 23423
 
23.4%
ValueCountFrequency (%)
1 23423
 
23.4%
0 76585
76.6%